Pandas Profiling Report

Dataset statistics

Number of variables	62
Number of observations	113
Missing cells	2742
Missing cells (%)	39.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	54.9 KiB
Average record size in memory	497.1 B

Variable types

Numeric	14
Categorical	39
Unsupported	9

Alerts

`airdate` has constant value "2020-12-30"	Constant
`url` has a high cardinality: 113 distinct values	High cardinality
`name` has a high cardinality: 88 distinct values	High cardinality
`_links.self.href` has a high cardinality: 113 distinct values	High cardinality
`_embedded.show.url` has a high cardinality: 72 distinct values	High cardinality
`_embedded.show.name` has a high cardinality: 72 distinct values	High cardinality
`_embedded.show.premiered` has a high cardinality: 53 distinct values	High cardinality
`_embedded.show.officialSite` has a high cardinality: 64 distinct values	High cardinality
`_embedded.show.image.medium` has a high cardinality: 68 distinct values	High cardinality
`_embedded.show.image.original` has a high cardinality: 68 distinct values	High cardinality
`_embedded.show.summary` has a high cardinality: 63 distinct values	High cardinality
`_embedded.show._links.self.href` has a high cardinality: 72 distinct values	High cardinality
`_embedded.show._links.previousepisode.href` has a high cardinality: 72 distinct values	High cardinality
`id` is highly correlated with `_embedded.show.id` and 3 other fields	High correlation
`season` is highly correlated with `_embedded.show.id` and 3 other fields	High correlation
`number` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 2 other fields	High correlation
`rating.average` is highly correlated with `_embedded.show.weight` and 1 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 6 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `season` and 3 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 4 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 12 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 3 other fields	High correlation
`_embedded.show.updated` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 7 other fields	High correlation
`id` is highly correlated with `_embedded.show.externals.tvrage`	High correlation
`season` is highly correlated with `number` and 2 other fields	High correlation
`number` is highly correlated with `season` and 2 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 1 other fields	High correlation
`rating.average` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.id` is highly correlated with `_embedded.show.rating.average` and 3 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `season` and 4 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.weight` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `_embedded.show.id` and 2 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `_embedded.show.id` and 5 other fields	High correlation
`id` is highly correlated with `_embedded.show.id` and 2 other fields	High correlation
`season` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`number` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 1 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 4 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `season` and 3 other fields	High correlation
`_embedded.show.weight` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 2 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 5 other fields	High correlation
`id` is highly correlated with `name` and 39 other fields	High correlation
`name` is highly correlated with `id` and 40 other fields	High correlation
`season` is highly correlated with `name` and 18 other fields	High correlation
`number` is highly correlated with `name` and 21 other fields	High correlation
`type` is highly correlated with `id` and 24 other fields	High correlation
`airtime` is highly correlated with `id` and 35 other fields	High correlation
`airstamp` is highly correlated with `id` and 41 other fields	High correlation
`runtime` is highly correlated with `name` and 31 other fields	High correlation
`summary` is highly correlated with `id` and 36 other fields	High correlation
`rating.average` is highly correlated with `id` and 32 other fields	High correlation
`image.medium` is highly correlated with `id` and 37 other fields	High correlation
`image.original` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.url` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.name` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.type` is highly correlated with `id` and 39 other fields	High correlation
`_embedded.show.language` is highly correlated with `name` and 37 other fields	High correlation
`_embedded.show.status` is highly correlated with `id` and 31 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `id` and 40 other fields	High correlation
`_embedded.show.premiered` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.ended` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.officialSite` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.schedule.time` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.webChannel.name` is highly correlated with `id` and 42 other fields	High correlation
`_embedded.show.webChannel.officialSite` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `name` and 20 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `name` and 32 other fields	High correlation
`_embedded.show.externals.imdb` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.image.medium` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.image.original` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.summary` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.updated` is highly correlated with `id` and 36 other fields	High correlation
`_embedded.show._links.self.href` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show._links.previousepisode.href` is highly correlated with `id` and 45 other fields	High correlation
`_embedded.show.webChannel.country.name` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.webChannel.country.code` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.webChannel.country.timezone` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show._links.nextepisode.href` is highly correlated with `id` and 28 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 28 other fields	High correlation
`_embedded.show.network.name` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.network.country.name` is highly correlated with `id` and 30 other fields	High correlation
`_embedded.show.network.country.code` is highly correlated with `id` and 30 other fields	High correlation
`_embedded.show.network.country.timezone` is highly correlated with `id` and 30 other fields	High correlation
`number` has 2 (1.8%) missing values	Missing
`runtime` has 8 (7.1%) missing values	Missing
`summary` has 72 (63.7%) missing values	Missing
`rating.average` has 96 (85.0%) missing values	Missing
`image.medium` has 70 (61.9%) missing values	Missing
`image.original` has 70 (61.9%) missing values	Missing
`_embedded.show.runtime` has 50 (44.2%) missing values	Missing
`_embedded.show.averageRuntime` has 5 (4.4%) missing values	Missing
`_embedded.show.ended` has 56 (49.6%) missing values	Missing
`_embedded.show.officialSite` has 12 (10.6%) missing values	Missing
`_embedded.show.rating.average` has 96 (85.0%) missing values	Missing
`_embedded.show.network` has 113 (100.0%) missing values	Missing
`_embedded.show.webChannel.country` has 113 (100.0%) missing values	Missing
`_embedded.show.webChannel.officialSite` has 24 (21.2%) missing values	Missing
`_embedded.show.dvdCountry` has 113 (100.0%) missing values	Missing
`_embedded.show.externals.tvrage` has 110 (97.3%) missing values	Missing
`_embedded.show.externals.thetvdb` has 31 (27.4%) missing values	Missing
`_embedded.show.externals.imdb` has 52 (46.0%) missing values	Missing
`_embedded.show.image.medium` has 4 (3.5%) missing values	Missing
`_embedded.show.image.original` has 4 (3.5%) missing values	Missing
`_embedded.show.summary` has 9 (8.0%) missing values	Missing
`_embedded.show.webChannel.country.name` has 67 (59.3%) missing values	Missing
`_embedded.show.webChannel.country.code` has 67 (59.3%) missing values	Missing
`_embedded.show.webChannel.country.timezone` has 67 (59.3%) missing values	Missing
`image` has 113 (100.0%) missing values	Missing
`_embedded.show._links.nextepisode.href` has 108 (95.6%) missing values	Missing
`_embedded.show.dvdCountry.name` has 111 (98.2%) missing values	Missing
`_embedded.show.dvdCountry.code` has 111 (98.2%) missing values	Missing
`_embedded.show.dvdCountry.timezone` has 111 (98.2%) missing values	Missing
`_embedded.show.network.id` has 107 (94.7%) missing values	Missing
`_embedded.show.network.name` has 107 (94.7%) missing values	Missing
`_embedded.show.network.country.name` has 107 (94.7%) missing values	Missing
`_embedded.show.network.country.code` has 107 (94.7%) missing values	Missing
`_embedded.show.network.country.timezone` has 107 (94.7%) missing values	Missing
`_embedded.show.network.officialSite` has 113 (100.0%) missing values	Missing
`_embedded.show.image` has 113 (100.0%) missing values	Missing
`_embedded.show.webChannel` has 113 (100.0%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`summary` is uniformly distributed	Uniform
`image.medium` is uniformly distributed	Uniform
`image.original` is uniformly distributed	Uniform
`_links.self.href` is uniformly distributed	Uniform
`_embedded.show.externals.tvrage` is uniformly distributed	Uniform
`_embedded.show._links.nextepisode.href` is uniformly distributed	Uniform
`_embedded.show.dvdCountry.name` is uniformly distributed	Uniform
`_embedded.show.dvdCountry.code` is uniformly distributed	Uniform
`_embedded.show.dvdCountry.timezone` is uniformly distributed	Uniform
`_embedded.show.network.name` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links.self.href` has unique values	Unique
`_embedded.show.genres` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.schedule.days` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel.country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.dvdCountry` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network.officialSite` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-06 02:50:56.832623
Analysis finished	2022-09-06 02:51:17.459816
Duration	20.63 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	113
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2056845

Minimum	1945903
Maximum	2386111
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1945903
5-th percentile	1972779.8
Q1	1985599
median	1996691
Q3	2095630
95-th percentile	2312221.4
Maximum	2386111
Range	440208
Interquartile range (IQR)	110031

Descriptive statistics

Standard deviation	117186.053
Coefficient of variation (CV)	0.05697369174
Kurtosis	0.6396696583
Mean	2056845
Median Absolute Deviation (MAD)	16283
Skewness	1.456258065
Sum	232423485
Variance	1.373257102 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2179615	1	0.9%
1958576	1	0.9%
1995753	1	0.9%
1995752	1	0.9%
1995386	1	0.9%
1995747	1	0.9%
1995746	1	0.9%
1995745	1	0.9%
1995744	1	0.9%
1995743	1	0.9%
Other values (103)	103	91.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945903	1	0.9%
1958576	1	0.9%
1958869	1	0.9%
1964497	1	0.9%
1964498	1	0.9%
1970255	1	0.9%
1974463	1	0.9%
1975372	1	0.9%
1976052	1	0.9%
1976053	1	0.9%

Value	Count	Frequency (%)
2386111	1	0.9%
2330009	1	0.9%
2324426	1	0.9%
2324425	1	0.9%
2318116	1	0.9%
2312222	1	0.9%
2312221	1	0.9%
2312220	1	0.9%
2312219	1	0.9%
2312218	1	0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	113
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	1
https://www.tvmaze.com/episodes/1958576/my-bromance-2-5-years-later-1x04-episode-4	1
https://www.tvmaze.com/episodes/1995753/sanpa-luci-e-tenebre-di-san-patrignano-1x03-fama	1
https://www.tvmaze.com/episodes/1995752/sanpa-luci-e-tenebre-di-san-patrignano-1x02-crescita	1
https://www.tvmaze.com/episodes/1995386/sanpa-luci-e-tenebre-di-san-patrignano-1x01-nascita	1
Other values (108)	108

Length

Max length	145
Median length	107
Mean length	83.18584071
Min length	58

Characters and Unicode

Total characters	9400
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	113 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj
2nd row	https://www.tvmaze.com/episodes/2001718/zona-komforta-s01-special-zona-komforta-osuitelno-specialnyj-vypusk
3rd row	https://www.tvmaze.com/episodes/1987721/passaziry-1x03-kirill
4th row	https://www.tvmaze.com/episodes/2386111/xian-feng-jian-yu-lu-1x52-episode-52
5th row	https://www.tvmaze.com/episodes/2095630/yi-nian-yong-heng-1x23-episode-23

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	1	0.9%
https://www.tvmaze.com/episodes/1958576/my-bromance-2-5-years-later-1x04-episode-4	1	0.9%
https://www.tvmaze.com/episodes/1995753/sanpa-luci-e-tenebre-di-san-patrignano-1x03-fama	1	0.9%
https://www.tvmaze.com/episodes/1995752/sanpa-luci-e-tenebre-di-san-patrignano-1x02-crescita	1	0.9%
https://www.tvmaze.com/episodes/1995386/sanpa-luci-e-tenebre-di-san-patrignano-1x01-nascita	1	0.9%
https://www.tvmaze.com/episodes/1995747/best-leftovers-ever-1x08-bland-to-flavor-bomb	1	0.9%
https://www.tvmaze.com/episodes/1995746/best-leftovers-ever-1x07-fiesta-feast	1	0.9%
https://www.tvmaze.com/episodes/1995745/best-leftovers-ever-1x06-welcome-to-the-neighborhood	1	0.9%
https://www.tvmaze.com/episodes/1995744/best-leftovers-ever-1x05-down-home-to-uptown	1	0.9%
https://www.tvmaze.com/episodes/1995743/best-leftovers-ever-1x04-pot-roast-to-french-toast	1	0.9%
Other values (103)	103	91.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	1	0.9%
https://www.tvmaze.com/episodes/2001718/zona-komforta-s01-special-zona-komforta-osuitelno-specialnyj-vypusk	1	0.9%
https://www.tvmaze.com/episodes/1987721/passaziry-1x03-kirill	1	0.9%
https://www.tvmaze.com/episodes/2386111/xian-feng-jian-yu-lu-1x52-episode-52	1	0.9%
https://www.tvmaze.com/episodes/2095630/yi-nian-yong-heng-1x23-episode-23	1	0.9%
https://www.tvmaze.com/episodes/1993659/7-days-of-romance-2x04-episode-4	1	0.9%
https://www.tvmaze.com/episodes/2096304/no-turning-back-romance-1x08-8	1	0.9%
https://www.tvmaze.com/episodes/2324425/unique-lady-2x13-episode-13	1	0.9%
https://www.tvmaze.com/episodes/2324426/unique-lady-2x14-episode-14	1	0.9%
https://www.tvmaze.com/episodes/1998603/unique-lady-2-1x13-episode-13	1	0.9%
Other values (103)	103	91.2%

Most occurring characters

Value	Count	Frequency (%)
e	808	8.6%
-	762	8.1%
s	588	6.3%
/	565	6.0%
t	562	6.0%
o	527	5.6%
a	391	4.2%
w	372	4.0%
i	369	3.9%
p	347	3.7%
Other values (30)	4109	43.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6429	68.4%
Decimal Number	1305	13.9%
Other Punctuation	904	9.6%
Dash Punctuation	762	8.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	808	12.6%
s	588	9.1%
t	562	8.7%
o	527	8.2%
a	391	6.1%
w	372	5.8%
i	369	5.7%
p	347	5.4%
m	311	4.8%
d	268	4.2%
Other values (16)	1886	29.3%

Decimal Number

Value	Count	Frequency (%)
1	273	20.9%
2	199	15.2%
0	169	13.0%
9	148	11.3%
5	104	8.0%
4	96	7.4%
3	88	6.7%
7	82	6.3%
6	78	6.0%
8	68	5.2%

Other Punctuation

Value	Count	Frequency (%)
/	565	62.5%
.	226	25.0%
:	113	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	762	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6429	68.4%
Common	2971	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	808	12.6%
s	588	9.1%
t	562	8.7%
o	527	8.2%
a	391	6.1%
w	372	5.8%
i	369	5.7%
p	347	5.4%
m	311	4.8%
d	268	4.2%
Other values (16)	1886	29.3%

Common

Value	Count	Frequency (%)
-	762	25.6%
/	565	19.0%
1	273	9.2%
.	226	7.6%
2	199	6.7%
0	169	5.7%
9	148	5.0%
:	113	3.8%
5	104	3.5%
4	96	3.2%
Other values (4)	316	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9400	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	808	8.6%
-	762	8.1%
s	588	6.3%
/	565	6.0%
t	562	6.0%
o	527	5.6%
a	391	4.2%
w	372	4.0%
i	369	3.9%
p	347	3.7%
Other values (30)	4109	43.7%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct	88
Distinct (%)	77.9%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Episode 4	6
Episode 1	5
Episode 6	4
Episode 2	4
Episode 5	3
Other values (83)	91

Length

Max length	96
Median length	79
Mean length	17.73451327
Min length	1

Characters and Unicode

Total characters	2004
Distinct characters	126
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	76 ?
Unique (%)	67.3%

Sample

1st row	КОНТАКТЫ в телефоне Арсения Попова: Павел Воля, Екатерина Варнава, Илья Соболев, Эдгард Запашный
2nd row	Зона Комфорта. Ошуительно Специальный Выпуск
3rd row	Кирилл
4th row	Episode 52
5th row	Episode 23

Common Values

Value	Count	Frequency (%)
Episode 4	6	5.3%
Episode 1	5	4.4%
Episode 6	4	3.5%
Episode 2	4	3.5%
Episode 5	3	2.7%
Episode 13	3	2.7%
Episode 3	2	1.8%
Episode 25	2	1.8%
Episode 26	2	1.8%
Episode 11	2	1.8%
Other values (78)	80	70.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	52	14.4%
the	9	2.5%
to	8	2.2%
1	8	2.2%
	6	1.7%
4	6	1.7%
2	6	1.7%
and	4	1.1%
2020	4	1.1%
december	4	1.1%
Other values (222)	255	70.4%

Most occurring characters

Value	Count	Frequency (%)
	249	12.4%
e	152	7.6%
o	119	5.9%
i	99	4.9%
s	96	4.8%
d	82	4.1%
a	73	3.6%
p	66	3.3%
t	57	2.8%
E	55	2.7%
Other values (116)	956	47.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1314	65.6%
Uppercase Letter	262	13.1%
Space Separator	249	12.4%
Decimal Number	133	6.6%
Other Punctuation	32	1.6%
Dash Punctuation	6	0.3%
Close Punctuation	3	0.1%
Open Punctuation	3	0.1%
Math Symbol	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	152	11.6%
o	119	9.1%
i	99	7.5%
s	96	7.3%
d	82	6.2%
a	73	5.6%
p	66	5.0%
t	57	4.3%
n	51	3.9%
r	50	3.8%
Other values (51)	469	35.7%

Uppercase Letter

Value	Count	Frequency (%)
E	55	21.0%
F	12	4.6%
D	11	4.2%
B	9	3.4%
H	9	3.4%
T	9	3.4%
О	9	3.4%
A	9	3.4%
G	8	3.1%
В	8	3.1%
Other values (33)	123	46.9%

Decimal Number

Value	Count	Frequency (%)
2	36	27.1%
1	26	19.5%
0	17	12.8%
4	14	10.5%
3	14	10.5%
5	10	7.5%
6	9	6.8%
8	4	3.0%
9	2	1.5%
7	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
,	15	46.9%
:	6	18.8%
.	5	15.6%
?	2	6.2%
!	2	6.2%
&	1	3.1%
/	1	3.1%

Space Separator

Value	Count	Frequency (%)
	249	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1239	61.8%
Common	428	21.4%
Cyrillic	337	16.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	152	12.3%
o	119	9.6%
i	99	8.0%
s	96	7.7%
d	82	6.6%
a	73	5.9%
p	66	5.3%
t	57	4.6%
E	55	4.4%
n	51	4.1%
Other values (43)	389	31.4%

Cyrillic

Value	Count	Frequency (%)
а	30	8.9%
и	25	7.4%
е	20	5.9%
л	19	5.6%
о	19	5.6%
н	18	5.3%
р	15	4.5%
т	14	4.2%
в	12	3.6%
с	10	3.0%
Other values (41)	155	46.0%

Common

Value	Count	Frequency (%)
	249	58.2%
2	36	8.4%
1	26	6.1%
0	17	4.0%
,	15	3.5%
4	14	3.3%
3	14	3.3%
5	10	2.3%
6	9	2.1%
:	6	1.4%
Other values (12)	32	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1656	82.6%
Cyrillic	337	16.8%
None	11	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	249	15.0%
e	152	9.2%
o	119	7.2%
i	99	6.0%
s	96	5.8%
d	82	5.0%
a	73	4.4%
p	66	4.0%
t	57	3.4%
E	55	3.3%
Other values (58)	608	36.7%

Cyrillic

Value	Count	Frequency (%)
а	30	8.9%
и	25	7.4%
е	20	5.9%
л	19	5.6%
о	19	5.6%
н	18	5.3%
р	15	4.5%
т	14	4.2%
в	12	3.6%
с	10	3.0%
Other values (41)	155	46.0%

None

Value	Count	Frequency (%)
å	3	27.3%
ų	3	27.3%
ž	1	9.1%
æ	1	9.1%
ø	1	9.1%
É	1	9.1%
á	1	9.1%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	9.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91.38053097

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	20.8
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	416.8352346
Coefficient of variation (CV)	4.561532202
Kurtosis	18.5048986
Mean	91.38053097
Median Absolute Deviation (MAD)	0
Skewness	4.491775811
Sum	10326
Variance	173751.6128
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	79	69.9%
2	13	11.5%
2020	5	4.4%
5	4	3.5%
4	4	3.5%
7	2	1.8%
3	2	1.8%
8	1	0.9%
12	1	0.9%
31	1	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	79	69.9%
2	13	11.5%
3	2	1.8%
4	4	3.5%
5	4	3.5%
7	2	1.8%
8	1	0.9%
12	1	0.9%
14	1	0.9%
31	1	0.9%

Value	Count	Frequency (%)
2020	5	4.4%
31	1	0.9%
14	1	0.9%
12	1	0.9%
8	1	0.9%
7	2	1.8%
5	4	3.5%
4	4	3.5%
3	2	1.8%
2	13	11.5%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	38.7%
Missing	2
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%
Mean	24.53153153

Minimum	1
Maximum	357
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	8
Q3	23.5
95-th percentile	65.5
Maximum	357
Range	356
Interquartile range (IQR)	20.5

Descriptive statistics

Standard deviation	55.06439533
Coefficient of variation (CV)	2.244637489
Kurtosis	25.97679321
Mean	24.53153153
Median Absolute Deviation (MAD)	6
Skewness	4.955983477
Sum	2723
Variance	3032.087633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
1	12	10.6%
4	9	8.0%
2	9	8.0%
3	8	7.1%
5	8	7.1%
6	7	6.2%
8	5	4.4%
13	5	4.4%
23	3	2.7%
14	3	2.7%
Other values (33)	42	37.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	12	10.6%
2	9	8.0%
3	8	7.1%
4	9	8.0%
5	8	7.1%
6	7	6.2%
7	1	0.9%
8	5	4.4%
9	1	0.9%
10	1	0.9%

Value	Count	Frequency (%)
357	1	0.9%
322	1	0.9%
321	1	0.9%
89	1	0.9%
86	1	0.9%
71	1	0.9%
60	1	0.9%
59	1	0.9%
55	1	0.9%
53	1	0.9%

type
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

regular	111
insignificant_special	1
significant_special	1

Length

Max length	21
Median length	7
Mean length	7.230088496
Min length	7

Characters and Unicode

Total characters	817
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.8%

Sample

1st row	regular
2nd row	insignificant_special
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	111	98.2%
insignificant_special	1	0.9%
significant_special	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	111	98.2%
insignificant_special	1	0.9%
significant_special	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
r	222	27.2%
a	115	14.1%
e	113	13.8%
g	113	13.8%
l	113	13.8%
u	111	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	815	99.8%
Connector Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	222	27.2%
a	115	14.1%
e	113	13.9%
g	113	13.9%
l	113	13.9%
u	111	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	815	99.8%
Common	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	222	27.2%
a	115	14.1%
e	113	13.9%
g	113	13.9%
l	113	13.9%
u	111	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	817	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	222	27.2%
a	115	14.1%
e	113	13.8%
g	113	13.8%
l	113	13.8%
u	111	13.6%
i	9	1.1%
n	5	0.6%
s	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

airdate
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-30	113

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1130
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-30
2nd row	2020-12-30
3rd row	2020-12-30
4th row	2020-12-30
5th row	2020-12-30

Common Values

Value	Count	Frequency (%)
2020-12-30	113	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-30	113	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	339	30.0%
0	339	30.0%
-	226	20.0%
1	113	10.0%
3	113	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	904	80.0%
Dash Punctuation	226	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	339	37.5%
0	339	37.5%
1	113	12.5%
3	113	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	226	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1130	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	339	30.0%
0	339	30.0%
-	226	20.0%
1	113	10.0%
3	113	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1130	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	339	30.0%
0	339	30.0%
-	226	20.0%
1	113	10.0%
3	113	10.0%

airtime
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

	87
20:00	14
12:00	3
10:00	2
18:00	2
Other values (4)	5

Length

Max length	5
Median length	0
Mean length	1.150442478
Min length	0

Characters and Unicode

Total characters	130
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	2.7%

Sample

1st row	12:00
2nd row
3rd row
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
	87	77.0%
20:00	14	12.4%
12:00	3	2.7%
10:00	2	1.8%
18:00	2	1.8%
00:00	2	1.8%
08:30	1	0.9%
19:00	1	0.9%
21:45	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
20:00	14	53.8%
12:00	3	11.5%
10:00	2	7.7%
18:00	2	7.7%
00:00	2	7.7%
08:30	1	3.8%
19:00	1	3.8%
21:45	1	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	70	53.8%
:	26	20.0%
2	18	13.8%
1	9	6.9%
8	3	2.3%
3	1	0.8%
9	1	0.8%
4	1	0.8%
5	1	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	104	80.0%
Other Punctuation	26	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70	67.3%
2	18	17.3%
1	9	8.7%
8	3	2.9%
3	1	1.0%
9	1	1.0%
4	1	1.0%
5	1	1.0%

Other Punctuation

Value	Count	Frequency (%)
:	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	130	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70	53.8%
:	26	20.0%
2	18	13.8%
1	9	6.9%
8	3	2.3%
3	1	0.8%
9	1	0.8%
4	1	0.8%
5	1	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	70	53.8%
:	26	20.0%
2	18	13.8%
1	9	6.9%
8	3	2.3%
3	1	0.8%
9	1	0.8%
4	1	0.8%
5	1	0.8%

airstamp
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	13.3%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-30T12:00:00+00:00	71
2020-12-30T04:00:00+00:00	17
2020-12-30T09:00:00+00:00	4
2020-12-30T17:00:00+00:00	4
2020-12-30T00:00:00+00:00	3
Other values (10)	14

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2825
Distinct characters	12
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	5.3%

Sample

1st row	2020-12-30T00:00:00+00:00
2nd row	2020-12-30T00:00:00+00:00
3rd row	2020-12-30T00:00:00+00:00
4th row	2020-12-30T02:00:00+00:00
5th row	2020-12-30T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-30T12:00:00+00:00	71	62.8%
2020-12-30T04:00:00+00:00	17	15.0%
2020-12-30T09:00:00+00:00	4	3.5%
2020-12-30T17:00:00+00:00	4	3.5%
2020-12-30T00:00:00+00:00	3	2.7%
2020-12-30T02:00:00+00:00	2	1.8%
2020-12-30T03:00:00+00:00	2	1.8%
2020-12-30T11:00:00+00:00	2	1.8%
2020-12-31T01:00:00+00:00	2	1.8%
2020-12-30T10:00:00+00:00	1	0.9%
Other values (5)	5	4.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-30t12:00:00+00:00	71	62.8%
2020-12-30t04:00:00+00:00	17	15.0%
2020-12-30t09:00:00+00:00	4	3.5%
2020-12-30t17:00:00+00:00	4	3.5%
2020-12-30t00:00:00+00:00	3	2.7%
2020-12-30t02:00:00+00:00	2	1.8%
2020-12-30t03:00:00+00:00	2	1.8%
2020-12-30t11:00:00+00:00	2	1.8%
2020-12-31t01:00:00+00:00	2	1.8%
2020-12-30t10:00:00+00:00	1	0.9%
Other values (5)	5	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	1272	45.0%
2	413	14.6%
:	339	12.0%
-	226	8.0%
1	202	7.2%
3	117	4.1%
T	113	4.0%
+	113	4.0%
4	18	0.6%
9	5	0.2%
Other values (2)	7	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2034	72.0%
Other Punctuation	339	12.0%
Dash Punctuation	226	8.0%
Uppercase Letter	113	4.0%
Math Symbol	113	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1272	62.5%
2	413	20.3%
1	202	9.9%
3	117	5.8%
4	18	0.9%
9	5	0.2%
7	4	0.2%
5	3	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	339	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	226	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	113	100.0%

Math Symbol

Value	Count	Frequency (%)
+	113	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2712	96.0%
Latin	113	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1272	46.9%
2	413	15.2%
:	339	12.5%
-	226	8.3%
1	202	7.4%
3	117	4.3%
+	113	4.2%
4	18	0.7%
9	5	0.2%
7	4	0.1%

Latin

Value	Count	Frequency (%)
T	113	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2825	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1272	45.0%
2	413	14.6%
:	339	12.0%
-	226	8.0%
1	202	7.2%
3	117	4.1%
T	113	4.0%
+	113	4.0%
4	18	0.6%
9	5	0.2%
Other values (2)	7	0.2%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	42
Distinct (%)	40.0%
Missing	8
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	39.58095238

Minimum	4
Maximum	208
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	4
5-th percentile	12
Q1	23
median	35
Q3	45
95-th percentile	92.4
Maximum	208
Range	204
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	28.7752501
Coefficient of variation (CV)	0.7269974159
Kurtosis	12.04096107
Mean	39.58095238
Median Absolute Deviation (MAD)	10
Skewness	2.831149172
Sum	4156
Variance	828.0150183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
45	21	18.6%
30	9	8.0%
20	5	4.4%
12	5	4.4%
35	5	4.4%
25	5	4.4%
24	4	3.5%
36	4	3.5%
19	3	2.7%
40	3	2.7%
Other values (32)	41	36.3%
(Missing)	8	7.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	1	0.9%
6	1	0.9%
8	1	0.9%
10	1	0.9%
12	5	4.4%
13	1	0.9%
15	3	2.7%
17	1	0.9%
18	2	1.8%

Value	Count	Frequency (%)
208	1	0.9%
127	1	0.9%
120	3	2.7%
93	1	0.9%
90	1	0.9%
66	1	0.9%
64	1	0.9%
62	1	0.9%
61	1	0.9%
60	2	1.8%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	41
Distinct (%)	100.0%
Missing	72
Missing (%)	63.7%
Memory size	1.0 KiB

<p>Despite the serious charges against him, Muccioli receives overwhelming support from the public, including many affected by the heroin crisis.</p><p><br /> </p>	1
<p>Game day appetizers morph into meals that score big points with the judges. The contestants must reimagine smoky barbecue takeout as a gourmet feast.</p><p><br /> </p>	1
<p>A festive meal means lots of leftovers. So how about glazed ham, apple pie and green bean casserole… on a sandwich? Later, Greek food gets a new life.</p><p><br /> </p>	1
<p>The cooks serve up a spectacular breakfast using fancy date-night leftovers from the fridge, then wow the judges with fresh takes on Italian takeout.</p><p><br /> </p>	1
<p>Bacon-wrapped brats and blueberry cobbler get a second look as late-night snacks, and duck confit and cassoulet evolve into entirely different dishes.</p><p><br /> </p>	1
Other values (36)	36

Length

Max length	556
Median length	194
Mean length	189.4146341
Min length	84

Characters and Unicode

Total characters	7766
Distinct characters	71
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	100.0%

Sample

1st row	<p>A unique release of The Shocking Howe. Actors and writers of the "Comfort Zone" series will tell you how the project was created. Of course, everything is in the style of the Shocking Howe.</p>
2nd row	<p>Yun Woo suffers from monochromat. In his eyes, everything is in the shades of gray colors. On the first day at Sangsang High School, Yeon Woo gets to meet new classmates. One of them is Go Yoo Han who dreams of becoming a K-pop artist. When Yoo Han takes off his mask, Yun Woo starts to see the colors.</p>
3rd row	<p>Amos and Clarissa are trapped in a collapsed building. Naomi contends with her old family. Holden assembles a new crew on the Roci. Alex and Bobbie make a dangerous discovery in the Belt.</p>
4th row	<p>Surprise! Here's one last random episode to round out the season. Check out the hi-jinks the gals got up to that didn't make the episodes!</p>
5th row	<p>Believing the Allspark destroyed, Megatron plans to flee the dying planet — but at great cost. Elita's plan to free some prisoners hits a snag.</p><p><br /> </p>

Common Values

Value	Count	Frequency (%)
<p>Despite the serious charges against him, Muccioli receives overwhelming support from the public, including many affected by the heroin crisis.</p><p><br /> </p>	1	0.9%
<p>Game day appetizers morph into meals that score big points with the judges. The contestants must reimagine smoky barbecue takeout as a gourmet feast.</p><p><br /> </p>	1	0.9%
<p>A festive meal means lots of leftovers. So how about glazed ham, apple pie and green bean casserole… on a sandwich? Later, Greek food gets a new life.</p><p><br /> </p>	1	0.9%
<p>The cooks serve up a spectacular breakfast using fancy date-night leftovers from the fridge, then wow the judges with fresh takes on Italian takeout.</p><p><br /> </p>	1	0.9%
<p>Bacon-wrapped brats and blueberry cobbler get a second look as late-night snacks, and duck confit and cassoulet evolve into entirely different dishes.</p><p><br /> </p>	1	0.9%
<p>Potluck castoffs return with a vengeance as sinful desserts before the challengers tackle chilled Chinese takeout, including egg rolls and chow mein.</p><p><br /> </p>	1	0.9%
<p>The cooks use food from a children's party to make cocktails and an indulgent brunch. Mexican dishes are remade into gnocchi, dumplings and more.</p><p><br /> </p>	1	0.9%
<p>After creating a "flavor bomb" from notoriously bland foods like rice and toast, the competitors take on a new challenge: transforming Thai takeout.</p>	1	0.9%
<p>Cheap heroin begins to flood Italy. With the government unable to deal with the damage, Vincenzo Muccioli opens a commune to treat addicted youth.</p><p><br /> </p>	1	0.9%
<p>As Muccioli's fame and power grow, San Patrignano also expands beyond his immediate control. The commune struggles to deal with the AIDS epidemic.</p><p><br /> </p>	1	0.9%
Other values (31)	31	27.4%
(Missing)	72	63.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	84	6.7%
to	42	3.4%
and	34	2.7%
a	32	2.6%
of	22	1.8%
	22	1.8%
p	21	1.7%
in	16	1.3%
with	13	1.0%
from	12	1.0%
Other values (700)	953	76.2%

Most occurring characters

Value	Count	Frequency (%)
	1189	15.3%
e	738	9.5%
t	487	6.3%
a	467	6.0%
o	437	5.6%
s	432	5.6%
n	377	4.9%
i	366	4.7%
r	359	4.6%
h	289	3.7%
Other values (61)	2625	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5745	74.0%
Space Separator	1210	15.6%
Math Symbol	290	3.7%
Other Punctuation	257	3.3%
Uppercase Letter	227	2.9%
Decimal Number	21	0.3%
Dash Punctuation	16	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	738	12.8%
t	487	8.5%
a	467	8.1%
o	437	7.6%
s	432	7.5%
n	377	6.6%
i	366	6.4%
r	359	6.2%
h	289	5.0%
p	246	4.3%
Other values (16)	1547	26.9%

Uppercase Letter

Value	Count	Frequency (%)
A	40	17.6%
T	24	10.6%
M	18	7.9%
C	16	7.0%
S	14	6.2%
I	12	5.3%
L	10	4.4%
H	10	4.4%
W	9	4.0%
R	9	4.0%
Other values (13)	65	28.6%

Other Punctuation

Value	Count	Frequency (%)
/	83	32.3%
.	80	31.1%
,	51	19.8%
'	20	7.8%
"	12	4.7%
!	4	1.6%
?	3	1.2%
:	2	0.8%
;	1	0.4%
…	1	0.4%

Decimal Number

Value	Count	Frequency (%)
2	7	33.3%
0	7	33.3%
5	3	14.3%
1	2	9.5%
6	1	4.8%
3	1	4.8%

Space Separator

Value	Count	Frequency (%)
	1189	98.3%
	21	1.7%

Math Symbol

Value	Count	Frequency (%)
<	145	50.0%
>	145	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	75.0%
—	4	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5972	76.9%
Common	1794	23.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	738	12.4%
t	487	8.2%
a	467	7.8%
o	437	7.3%
s	432	7.2%
n	377	6.3%
i	366	6.1%
r	359	6.0%
h	289	4.8%
p	246	4.1%
Other values (39)	1774	29.7%

Common

Value	Count	Frequency (%)
	1189	66.3%
<	145	8.1%
>	145	8.1%
/	83	4.6%
.	80	4.5%
,	51	2.8%
	21	1.2%
'	20	1.1%
-	12	0.7%
"	12	0.7%
Other values (12)	36	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7740	99.7%
None	21	0.3%
Punctuation	5	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1189	15.4%
e	738	9.5%
t	487	6.3%
a	467	6.0%
o	437	5.6%
s	432	5.6%
n	377	4.9%
i	366	4.7%
r	359	4.6%
h	289	3.7%
Other values (58)	2599	33.6%

None

Value	Count	Frequency (%)
	21	100.0%

Punctuation

Value	Count	Frequency (%)
—	4	80.0%
…	1	20.0%

rating.average
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	52.9%
Missing	96
Missing (%)	85.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.576470588

Minimum	6
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	6
5-th percentile	6.8
Q1	7
median	7
Q3	8
95-th percentile	9.12
Maximum	10
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9397668672
Coefficient of variation (CV)	0.1240375523
Kurtosis	1.629259558
Mean	7.576470588
Median Absolute Deviation (MAD)	0.7
Skewness	1.024451755
Sum	128.8
Variance	0.8831617647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
7	8	7.1%
7.8	2	1.8%
10	1	0.9%
8.9	1	0.9%
8.4	1	0.9%
7.7	1	0.9%
8	1	0.9%
8.2	1	0.9%
6	1	0.9%
(Missing)	96	85.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	0.9%
7	8	7.1%
7.7	1	0.9%
7.8	2	1.8%
8	1	0.9%
8.2	1	0.9%
8.4	1	0.9%
8.9	1	0.9%
10	1	0.9%

Value	Count	Frequency (%)
10	1	0.9%
8.9	1	0.9%
8.4	1	0.9%
8.2	1	0.9%
8	1	0.9%
7.8	2	1.8%
7.7	1	0.9%
7	8	7.1%
6	1	0.9%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	43
Distinct (%)	100.0%
Missing	70
Missing (%)	61.9%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/medium_landscape/360/901425.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728235.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728431.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728228.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728229.jpg	1
Other values (38)	38

Length

Max length	72
Median length	72
Mean length	72
Min length	72

Characters and Unicode

Total characters	3096
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_landscape/360/901425.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_landscape/322/807322.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_landscape/292/731145.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_landscape/291/728334.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_landscape/294/735209.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/360/901425.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728235.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728431.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728228.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728229.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728230.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728231.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728232.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728233.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728234.jpg	1	0.9%
Other values (33)	33	29.2%
(Missing)	70	61.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/360/901425.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728223.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/292/731145.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728334.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/294/735209.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/292/731116.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/293/734753.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728295.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728220.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728221.jpg	1	2.3%
Other values (33)	33	76.7%

Most occurring characters

Value	Count	Frequency (%)
/	301	9.7%
a	258	8.3%
t	215	6.9%
s	215	6.9%
m	215	6.9%
p	172	5.6%
e	172	5.6%
i	129	4.2%
c	129	4.2%
.	129	4.2%
Other values (22)	1161	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2193	70.8%
Other Punctuation	473	15.3%
Decimal Number	387	12.5%
Connector Punctuation	43	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	258	11.8%
t	215	9.8%
s	215	9.8%
m	215	9.8%
p	172	7.8%
e	172	7.8%
i	129	5.9%
c	129	5.9%
d	129	5.9%
l	86	3.9%
Other values (8)	473	21.6%

Decimal Number

Value	Count	Frequency (%)
2	115	29.7%
1	53	13.7%
7	48	12.4%
9	46	11.9%
8	41	10.6%
3	31	8.0%
4	16	4.1%
0	14	3.6%
5	13	3.4%
6	10	2.6%

Other Punctuation

Value	Count	Frequency (%)
/	301	63.6%
.	129	27.3%
:	43	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2193	70.8%
Common	903	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	258	11.8%
t	215	9.8%
s	215	9.8%
m	215	9.8%
p	172	7.8%
e	172	7.8%
i	129	5.9%
c	129	5.9%
d	129	5.9%
l	86	3.9%
Other values (8)	473	21.6%

Common

Value	Count	Frequency (%)
/	301	33.3%
.	129	14.3%
2	115	12.7%
1	53	5.9%
7	48	5.3%
9	46	5.1%
_	43	4.8%
:	43	4.8%
8	41	4.5%
3	31	3.4%
Other values (4)	53	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3096	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	301	9.7%
a	258	8.3%
t	215	6.9%
s	215	6.9%
m	215	6.9%
p	172	5.6%
e	172	5.6%
i	129	4.2%
c	129	4.2%
.	129	4.2%
Other values (22)	1161	37.5%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	43
Distinct (%)	100.0%
Missing	70
Missing (%)	61.9%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/original_untouched/360/901425.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/291/728235.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/291/728431.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/291/728228.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/291/728229.jpg	1
Other values (38)	38

Length

Max length	74
Median length	74
Mean length	74
Min length	74

Characters and Unicode

Total characters	3182
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/360/901425.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/322/807322.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/292/731145.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/291/728334.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/294/735209.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/360/901425.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728235.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728431.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728228.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728229.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728230.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728231.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728232.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728233.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728234.jpg	1	0.9%
Other values (33)	33	29.2%
(Missing)	70	61.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/360/901425.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/728223.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/292/731145.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/728334.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/294/735209.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/292/731116.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/293/734753.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/728295.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/728220.jpg	1	2.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/728221.jpg	1	2.3%
Other values (33)	33	76.7%

Most occurring characters

Value	Count	Frequency (%)
/	301	9.5%
t	258	8.1%
a	215	6.8%
s	172	5.4%
o	172	5.4%
i	172	5.4%
m	129	4.1%
u	129	4.1%
e	129	4.1%
g	129	4.1%
Other values (23)	1376	43.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2279	71.6%
Other Punctuation	473	14.9%
Decimal Number	387	12.2%
Connector Punctuation	43	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	258	11.3%
a	215	9.4%
s	172	7.5%
o	172	7.5%
i	172	7.5%
m	129	5.7%
u	129	5.7%
e	129	5.7%
g	129	5.7%
c	129	5.7%
Other values (9)	645	28.3%

Decimal Number

Value	Count	Frequency (%)
2	115	29.7%
1	53	13.7%
7	48	12.4%
9	46	11.9%
8	41	10.6%
3	31	8.0%
4	16	4.1%
0	14	3.6%
5	13	3.4%
6	10	2.6%

Other Punctuation

Value	Count	Frequency (%)
/	301	63.6%
.	129	27.3%
:	43	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2279	71.6%
Common	903	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	258	11.3%
a	215	9.4%
s	172	7.5%
o	172	7.5%
i	172	7.5%
m	129	5.7%
u	129	5.7%
e	129	5.7%
g	129	5.7%
c	129	5.7%
Other values (9)	645	28.3%

Common

Value	Count	Frequency (%)
/	301	33.3%
.	129	14.3%
2	115	12.7%
1	53	5.9%
7	48	5.3%
9	46	5.1%
_	43	4.8%
:	43	4.8%
8	41	4.5%
3	31	3.4%
Other values (4)	53	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3182	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	301	9.5%
t	258	8.1%
a	215	6.8%
s	172	5.4%
o	172	5.4%
i	172	5.4%
m	129	4.1%
u	129	4.1%
e	129	4.1%
g	129	4.1%
Other values (23)	1376	43.2%

_links.self.href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	113
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://api.tvmaze.com/episodes/2179615	1
https://api.tvmaze.com/episodes/1958576	1
https://api.tvmaze.com/episodes/1995753	1
https://api.tvmaze.com/episodes/1995752	1
https://api.tvmaze.com/episodes/1995386	1
Other values (108)	108

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4407
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	113 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2179615
2nd row	https://api.tvmaze.com/episodes/2001718
3rd row	https://api.tvmaze.com/episodes/1987721
4th row	https://api.tvmaze.com/episodes/2386111
5th row	https://api.tvmaze.com/episodes/2095630

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2179615	1	0.9%
https://api.tvmaze.com/episodes/1958576	1	0.9%
https://api.tvmaze.com/episodes/1995753	1	0.9%
https://api.tvmaze.com/episodes/1995752	1	0.9%
https://api.tvmaze.com/episodes/1995386	1	0.9%
https://api.tvmaze.com/episodes/1995747	1	0.9%
https://api.tvmaze.com/episodes/1995746	1	0.9%
https://api.tvmaze.com/episodes/1995745	1	0.9%
https://api.tvmaze.com/episodes/1995744	1	0.9%
https://api.tvmaze.com/episodes/1995743	1	0.9%
Other values (103)	103	91.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2179615	1	0.9%
https://api.tvmaze.com/episodes/2001718	1	0.9%
https://api.tvmaze.com/episodes/1987721	1	0.9%
https://api.tvmaze.com/episodes/2386111	1	0.9%
https://api.tvmaze.com/episodes/2095630	1	0.9%
https://api.tvmaze.com/episodes/1993659	1	0.9%
https://api.tvmaze.com/episodes/2096304	1	0.9%
https://api.tvmaze.com/episodes/2324425	1	0.9%
https://api.tvmaze.com/episodes/2324426	1	0.9%
https://api.tvmaze.com/episodes/1998603	1	0.9%
Other values (103)	103	91.2%

Most occurring characters

Value	Count	Frequency (%)
/	452	10.3%
p	339	7.7%
s	339	7.7%
e	339	7.7%
t	339	7.7%
o	226	5.1%
a	226	5.1%
i	226	5.1%
.	226	5.1%
m	226	5.1%
Other values (16)	1469	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2825	64.1%
Other Punctuation	791	17.9%
Decimal Number	791	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	339	12.0%
s	339	12.0%
e	339	12.0%
t	339	12.0%
o	226	8.0%
a	226	8.0%
i	226	8.0%
m	226	8.0%
h	113	4.0%
d	113	4.0%
Other values (3)	339	12.0%

Decimal Number

Value	Count	Frequency (%)
9	142	18.0%
1	123	15.5%
2	99	12.5%
7	73	9.2%
5	73	9.2%
0	68	8.6%
6	58	7.3%
4	57	7.2%
8	54	6.8%
3	44	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	452	57.1%
.	226	28.6%
:	113	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2825	64.1%
Common	1582	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	452	28.6%
.	226	14.3%
9	142	9.0%
1	123	7.8%
:	113	7.1%
2	99	6.3%
7	73	4.6%
5	73	4.6%
0	68	4.3%
6	58	3.7%
Other values (3)	155	9.8%

Latin

Value	Count	Frequency (%)
p	339	12.0%
s	339	12.0%
e	339	12.0%
t	339	12.0%
o	226	8.0%
a	226	8.0%
i	226	8.0%
m	226	8.0%
h	113	4.0%
d	113	4.0%
Other values (3)	339	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4407	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	452	10.3%
p	339	7.7%
s	339	7.7%
e	339	7.7%
t	339	7.7%
o	226	5.1%
a	226	5.1%
i	226	5.1%
.	226	5.1%
m	226	5.1%
Other values (16)	1469	33.3%

_embedded.show.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	63.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48521.50442

Minimum	1825
Maximum	62127
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1825
5-th percentile	17482.6
Q1	44276
median	52471
Q3	53093
95-th percentile	61556
Maximum	62127
Range	60302
Interquartile range (IQR)	8817

Descriptive statistics

Standard deviation	12210.19027
Coefficient of variation (CV)	0.2516449236
Kurtosis	5.800091504
Mean	48521.50442
Median Absolute Deviation (MAD)	3118
Skewness	-2.296103613
Sum	5482930
Variance	149088746.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52615	8	7.1%
43890	6	5.3%
61556	6	5.3%
42387	6	5.3%
52708	5	4.4%
52104	3	2.7%
15250	2	1.8%
47226	2	1.8%
52524	2	1.8%
52931	2	1.8%
Other values (62)	71	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1825	1	0.9%
2266	1	0.9%
2504	1	0.9%
6441	1	0.9%
15250	2	1.8%
18971	1	0.9%
28346	1	0.9%
30606	1	0.9%
33944	1	0.9%
34060	1	0.9%

Value	Count	Frequency (%)
62127	1	0.9%
61755	1	0.9%
61556	6	5.3%
61247	2	1.8%
60508	1	0.9%
60161	1	0.9%
58689	2	1.8%
58645	1	0.9%
58426	1	0.9%
57478	1	0.9%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	63.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://www.tvmaze.com/shows/52615/best-leftovers-ever	8
https://www.tvmaze.com/shows/43890/equinox	6
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6
https://www.tvmaze.com/shows/42387/transformers-war-for-cybertron-trilogy	6
https://www.tvmaze.com/shows/52708/sanpa-luci-e-tenebre-di-san-patrignano	5
Other values (67)	82

Length

Max length	79
Median length	59
Mean length	54.47787611
Min length	39

Characters and Unicode

Total characters	6156
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	46.9%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/51510/zona-komforta
3rd row	https://www.tvmaze.com/shows/52499/passaziry
4th row	https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu
5th row	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52615/best-leftovers-ever	8	7.1%
https://www.tvmaze.com/shows/43890/equinox	6	5.3%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6	5.3%
https://www.tvmaze.com/shows/42387/transformers-war-for-cybertron-trilogy	6	5.3%
https://www.tvmaze.com/shows/52708/sanpa-luci-e-tenebre-di-san-patrignano	5	4.4%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	3	2.7%
https://www.tvmaze.com/shows/15250/the-young-turks	2	1.8%
https://www.tvmaze.com/shows/47226/arashis-diary-voyage	2	1.8%
https://www.tvmaze.com/shows/52524/forever-love	2	1.8%
https://www.tvmaze.com/shows/52931/10-bin-adim	2	1.8%
Other values (62)	71	62.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52615/best-leftovers-ever	8	7.1%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6	5.3%
https://www.tvmaze.com/shows/42387/transformers-war-for-cybertron-trilogy	6	5.3%
https://www.tvmaze.com/shows/43890/equinox	6	5.3%
https://www.tvmaze.com/shows/52708/sanpa-luci-e-tenebre-di-san-patrignano	5	4.4%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	3	2.7%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	1.8%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	1.8%
https://www.tvmaze.com/shows/52421/you-complete-me	2	1.8%
https://www.tvmaze.com/shows/52400/dream-detective	2	1.8%
Other values (62)	71	62.8%

Most occurring characters

Value	Count	Frequency (%)
/	565	9.2%
t	478	7.8%
w	475	7.7%
s	465	7.6%
o	376	6.1%
e	344	5.6%
-	277	4.5%
h	269	4.4%
m	267	4.3%
a	262	4.3%
Other values (30)	2378	38.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4398	71.4%
Other Punctuation	904	14.7%
Decimal Number	577	9.4%
Dash Punctuation	277	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	478	10.9%
w	475	10.8%
s	465	10.6%
o	376	8.5%
e	344	7.8%
h	269	6.1%
m	267	6.1%
a	262	6.0%
c	156	3.5%
r	154	3.5%
Other values (16)	1152	26.2%

Decimal Number

Value	Count	Frequency (%)
5	105	18.2%
2	79	13.7%
4	69	12.0%
6	59	10.2%
1	51	8.8%
0	49	8.5%
8	46	8.0%
7	43	7.5%
3	41	7.1%
9	35	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	565	62.5%
.	226	25.0%
:	113	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	277	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4398	71.4%
Common	1758	28.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	478	10.9%
w	475	10.8%
s	465	10.6%
o	376	8.5%
e	344	7.8%
h	269	6.1%
m	267	6.1%
a	262	6.0%
c	156	3.5%
r	154	3.5%
Other values (16)	1152	26.2%

Common

Value	Count	Frequency (%)
/	565	32.1%
-	277	15.8%
.	226	12.9%
:	113	6.4%
5	105	6.0%
2	79	4.5%
4	69	3.9%
6	59	3.4%
1	51	2.9%
0	49	2.8%
Other values (4)	165	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6156	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	565	9.2%
t	478	7.8%
w	475	7.7%
s	465	7.6%
o	376	6.1%
e	344	5.6%
-	277	4.5%
h	269	4.4%
m	267	4.3%
a	262	4.3%
Other values (30)	2378	38.6%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	63.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Best Leftovers Ever!	8
Equinox	6
Unsolved Cases of Kung Fu: Portrait of Beauty	6
Transformers: War for Cybertron Trilogy	6
SanPa: Luci e tenebre di San Patrignano	5
Other values (67)	82

Length

Max length	45
Median length	25
Mean length	19.92035398
Min length	5

Characters and Unicode

Total characters	2251
Distinct characters	100
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	46.9%

Sample

1st row	Контакты
2nd row	Зона комфорта
3rd row	Пассажиры
4th row	Xian Feng Jian Yu Lu
5th row	Yi Nian Yong Heng

Common Values

Value	Count	Frequency (%)
Best Leftovers Ever!	8	7.1%
Equinox	6	5.3%
Unsolved Cases of Kung Fu: Portrait of Beauty	6	5.3%
Transformers: War for Cybertron Trilogy	6	5.3%
SanPa: Luci e tenebre di San Patrignano	5	4.4%
Twisted Fate of Love	3	2.7%
The Young Turks	2	1.8%
Arashi's Diary: Voyage	2	1.8%
Forever Love	2	1.8%
10 Bin Adim	2	1.8%
Other values (62)	71	62.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	20	5.1%
best	10	2.6%
the	10	2.6%
leftovers	8	2.1%
ever	8	2.1%
unsolved	6	1.5%
for	6	1.5%
love	6	1.5%
my	6	1.5%
cases	6	1.5%
Other values (177)	304	77.9%

Most occurring characters

Value	Count	Frequency (%)
	277	12.3%
e	204	9.1%
r	140	6.2%
o	135	6.0%
n	119	5.3%
a	119	5.3%
i	106	4.7%
t	97	4.3%
s	90	4.0%
u	66	2.9%
Other values (90)	898	39.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1573	69.9%
Uppercase Letter	341	15.1%
Space Separator	277	12.3%
Other Punctuation	44	2.0%
Decimal Number	16	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	204	13.0%
r	140	8.9%
o	135	8.6%
n	119	7.6%
a	119	7.6%
i	106	6.7%
t	97	6.2%
s	90	5.7%
u	66	4.2%
y	46	2.9%
Other values (42)	451	28.7%

Uppercase Letter

Value	Count	Frequency (%)
T	32	9.4%
L	31	9.1%
S	29	8.5%
B	23	6.7%
C	23	6.7%
P	22	6.5%
F	19	5.6%
E	19	5.6%
D	16	4.7%
Y	15	4.4%
Other values (25)	112	32.8%

Other Punctuation

Value	Count	Frequency (%)
:	26	59.1%
!	8	18.2%
'	7	15.9%
?	1	2.3%
.	1	2.3%
,	1	2.3%

Decimal Number

Value	Count	Frequency (%)
2	5	31.2%
0	5	31.2%
1	3	18.8%
5	1	6.2%
7	1	6.2%
3	1	6.2%

Space Separator

Value	Count	Frequency (%)
	277	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1786	79.3%
Common	337	15.0%
Cyrillic	128	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	204	11.4%
r	140	7.8%
o	135	7.6%
n	119	6.7%
a	119	6.7%
i	106	5.9%
t	97	5.4%
s	90	5.0%
u	66	3.7%
y	46	2.6%
Other values (41)	664	37.2%

Cyrillic

Value	Count	Frequency (%)
о	14	10.9%
а	12	9.4%
и	11	8.6%
т	9	7.0%
р	8	6.2%
н	8	6.2%
к	7	5.5%
с	6	4.7%
е	6	4.7%
з	4	3.1%
Other values (26)	43	33.6%

Common

Value	Count	Frequency (%)
	277	82.2%
:	26	7.7%
!	8	2.4%
'	7	2.1%
2	5	1.5%
0	5	1.5%
1	3	0.9%
?	1	0.3%
.	1	0.3%
5	1	0.3%
Other values (3)	3	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2122	94.3%
Cyrillic	128	5.7%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	277	13.1%
e	204	9.6%
r	140	6.6%
o	135	6.4%
n	119	5.6%
a	119	5.6%
i	106	5.0%
t	97	4.6%
s	90	4.2%
u	66	3.1%
Other values (53)	769	36.2%

Cyrillic

Value	Count	Frequency (%)
о	14	10.9%
а	12	9.4%
и	11	8.6%
т	9	7.0%
р	8	6.2%
н	8	6.2%
к	7	5.5%
с	6	4.7%
е	6	4.7%
з	4	3.1%
Other values (26)	43	33.6%

None

Value	Count	Frequency (%)
ė	1	100.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Scripted	54
Animation	16
Reality	11
Documentary	11
Talk Show	9
Other values (4)	12

Length

Max length	11
Median length	9
Mean length	8.283185841
Min length	4

Characters and Unicode

Total characters	936
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Game Show
2nd row	Scripted
3rd row	Scripted
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	54	47.8%
Animation	16	14.2%
Reality	11	9.7%
Documentary	11	9.7%
Talk Show	9	8.0%
Variety	4	3.5%
Game Show	3	2.7%
Sports	3	2.7%
News	2	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	54	43.2%
animation	16	12.8%
show	12	9.6%
reality	11	8.8%
documentary	11	8.8%
talk	9	7.2%
variety	4	3.2%
game	3	2.4%
sports	3	2.4%
news	2	1.6%

Most occurring characters

Value	Count	Frequency (%)
i	101	10.8%
t	99	10.6%
e	85	9.1%
r	72	7.7%
S	69	7.4%
c	65	6.9%
p	57	6.1%
a	54	5.8%
d	54	5.8%
n	43	4.6%
Other values (17)	237	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	799	85.4%
Uppercase Letter	125	13.4%
Space Separator	12	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	101	12.6%
t	99	12.4%
e	85	10.6%
r	72	9.0%
c	65	8.1%
p	57	7.1%
a	54	6.8%
d	54	6.8%
n	43	5.4%
o	42	5.3%
Other values (8)	127	15.9%

Uppercase Letter

Value	Count	Frequency (%)
S	69	55.2%
A	16	12.8%
R	11	8.8%
D	11	8.8%
T	9	7.2%
V	4	3.2%
G	3	2.4%
N	2	1.6%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	924	98.7%
Common	12	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	101	10.9%
t	99	10.7%
e	85	9.2%
r	72	7.8%
S	69	7.5%
c	65	7.0%
p	57	6.2%
a	54	5.8%
d	54	5.8%
n	43	4.7%
Other values (16)	225	24.4%

Common

Value	Count	Frequency (%)
	12	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	101	10.8%
t	99	10.6%
e	85	9.1%
r	72	7.7%
S	69	7.4%
c	65	6.9%
p	57	6.1%
a	54	5.8%
d	54	5.8%
n	43	4.6%
Other values (17)	237	25.3%

_embedded.show.language
Categorical

HIGH CORRELATION

Distinct	19
Distinct (%)	17.0%
Missing	1
Missing (%)	0.9%
Memory size	1.0 KiB

Chinese	34
English	32
Russian	8
Danish	6
Korean	5
Other values (14)	27

Length

Max length	10
Median length	7
Mean length	6.982142857
Min length	4

Characters and Unicode

Total characters	782
Distinct characters	34
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	6.2%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Chinese	34	30.1%
English	32	28.3%
Russian	8	7.1%
Danish	6	5.3%
Korean	5	4.4%
Italian	5	4.4%
Arabic	3	2.7%
Norwegian	3	2.7%
Japanese	3	2.7%
Ukrainian	2	1.8%
Other values (9)	11	9.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	34	30.4%
english	32	28.6%
russian	8	7.1%
danish	6	5.4%
korean	5	4.5%
italian	5	4.5%
arabic	3	2.7%
norwegian	3	2.7%
japanese	3	2.7%
turkish	2	1.8%
Other values (9)	11	9.8%

Most occurring characters

Value	Count	Frequency (%)
n	106	13.6%
i	104	13.3%
s	94	12.0%
e	87	11.1%
h	78	10.0%
a	56	7.2%
g	38	4.9%
l	38	4.9%
C	34	4.3%
E	32	4.1%
Other values (24)	115	14.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	670	85.7%
Uppercase Letter	112	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	106	15.8%
i	104	15.5%
s	94	14.0%
e	87	13.0%
h	78	11.6%
a	56	8.4%
g	38	5.7%
l	38	5.7%
r	17	2.5%
u	13	1.9%
Other values (9)	39	5.8%

Uppercase Letter

Value	Count	Frequency (%)
C	34	30.4%
E	32	28.6%
R	8	7.1%
D	7	6.2%
K	5	4.5%
I	5	4.5%
T	5	4.5%
J	3	2.7%
N	3	2.7%
A	3	2.7%
Other values (5)	7	6.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	782	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	106	13.6%
i	104	13.3%
s	94	12.0%
e	87	11.1%
h	78	10.0%
a	56	7.2%
g	38	4.9%
l	38	4.9%
C	34	4.3%
E	32	4.1%
Other values (24)	115	14.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	782	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	106	13.6%
i	104	13.3%
s	94	12.0%
e	87	11.1%
h	78	10.0%
a	56	7.2%
g	38	4.9%
l	38	4.9%
C	34	4.3%
E	32	4.1%
Other values (24)	115	14.7%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Ended	57
Running	35
To Be Determined	21

Length

Max length	16
Median length	5
Mean length	7.663716814
Min length	5

Characters and Unicode

Total characters	866
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Ended	57	50.4%
Running	35	31.0%
To Be Determined	21	18.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	57	36.8%
running	35	22.6%
to	21	13.5%
be	21	13.5%
determined	21	13.5%

Most occurring characters

Value	Count	Frequency (%)
n	183	21.1%
e	141	16.3%
d	135	15.6%
E	57	6.6%
i	56	6.5%
	42	4.8%
R	35	4.0%
u	35	4.0%
g	35	4.0%
T	21	2.4%
Other values (6)	126	14.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	669	77.3%
Uppercase Letter	155	17.9%
Space Separator	42	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	183	27.4%
e	141	21.1%
d	135	20.2%
i	56	8.4%
u	35	5.2%
g	35	5.2%
o	21	3.1%
t	21	3.1%
r	21	3.1%
m	21	3.1%

Uppercase Letter

Value	Count	Frequency (%)
E	57	36.8%
R	35	22.6%
T	21	13.5%
B	21	13.5%
D	21	13.5%

Space Separator

Value	Count	Frequency (%)
	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	824	95.2%
Common	42	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	183	22.2%
e	141	17.1%
d	135	16.4%
E	57	6.9%
i	56	6.8%
R	35	4.2%
u	35	4.2%
g	35	4.2%
T	21	2.5%
o	21	2.5%
Other values (5)	105	12.7%

Common

Value	Count	Frequency (%)
	42	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	866	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	183	21.1%
e	141	16.3%
d	135	15.6%
E	57	6.6%
i	56	6.5%
	42	4.8%
R	35	4.0%
u	35	4.0%
g	35	4.0%
T	21	2.4%
Other values (6)	126	14.5%

_embedded.show.runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	30.2%
Missing	50
Missing (%)	44.2%
Infinite	0
Infinite (%)	0.0%
Mean	40.96825397

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	4
5-th percentile	12
Q1	24
median	38
Q3	45
95-th percentile	117
Maximum	120
Range	116
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	26.75333459
Coefficient of variation (CV)	0.6530259895
Kurtosis	2.998755383
Mean	40.96825397
Median Absolute Deviation (MAD)	8
Skewness	1.678845303
Sum	2581
Variance	715.7409114
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
45	19	16.8%
30	10	8.8%
20	7	6.2%
120	4	3.5%
25	3	2.7%
60	3	2.7%
38	2	1.8%
40	2	1.8%
90	2	1.8%
12	2	1.8%
Other values (9)	9	8.0%
(Missing)	50	44.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	1	0.9%
8	1	0.9%
12	2	1.8%
15	1	0.9%
18	1	0.9%
19	1	0.9%
20	7	6.2%
23	1	0.9%
25	3	2.7%

Value	Count	Frequency (%)
120	4	3.5%
90	2	1.8%
66	1	0.9%
60	3	2.7%
45	19	16.8%
40	2	1.8%
38	2	1.8%
33	1	0.9%
30	10	8.8%
25	3	2.7%

_embedded.show.averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	31.5%
Missing	5
Missing (%)	4.4%
Infinite	0
Infinite (%)	0.0%
Mean	37.62037037

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	4
5-th percentile	11.35
Q1	25
median	36
Q3	45
95-th percentile	76.65
Maximum	120
Range	116
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	22.55614701
Coefficient of variation (CV)	0.5995726993
Kurtosis	4.172862427
Mean	37.62037037
Median Absolute Deviation (MAD)	10
Skewness	1.685468217
Sum	4063
Variance	508.7797681
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
45	18	15.9%
30	11	9.7%
25	10	8.8%
36	9	8.0%
60	7	6.2%
20	6	5.3%
46	6	5.3%
12	5	4.4%
42	4	3.5%
120	3	2.7%
Other values (24)	29	25.7%
(Missing)	5	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.9%
5	2	1.8%
7	1	0.9%
9	1	0.9%
11	1	0.9%
12	5	4.4%
13	1	0.9%
15	1	0.9%
16	1	0.9%
17	1	0.9%

Value	Count	Frequency (%)
120	3	2.7%
110	1	0.9%
90	1	0.9%
77	1	0.9%
76	1	0.9%
60	7	6.2%
58	1	0.9%
56	1	0.9%
55	1	0.9%
46	6	5.3%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	53
Distinct (%)	46.9%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-30	35
2020-07-30	6
2020-12-16	5
2020-11-23	3
2020-12-08	3
Other values (48)	61

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1130
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	33.6%

Sample

1st row	2019-04-03
2nd row	2020-10-22
3rd row	2020-12-24
4th row	2020-07-11
5th row	2020-08-12

Common Values

Value	Count	Frequency (%)
2020-12-30	35	31.0%
2020-07-30	6	5.3%
2020-12-16	5	4.4%
2020-11-23	3	2.7%
2020-12-08	3	2.7%
2020-11-18	3	2.7%
2020-12-14	3	2.7%
2020-12-24	3	2.7%
2019-01-17	2	1.8%
2020-12-02	2	1.8%
Other values (43)	48	42.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-30	35	31.0%
2020-07-30	6	5.3%
2020-12-16	5	4.4%
2020-11-23	3	2.7%
2020-12-08	3	2.7%
2020-11-18	3	2.7%
2020-12-14	3	2.7%
2020-12-24	3	2.7%
2020-12-27	2	1.8%
2013-12-24	2	1.8%
Other values (43)	48	42.5%

Most occurring characters

Value	Count	Frequency (%)
2	295	26.1%
0	289	25.6%
-	226	20.0%
1	164	14.5%
3	58	5.1%
9	25	2.2%
8	20	1.8%
7	19	1.7%
4	16	1.4%
6	12	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	904	80.0%
Dash Punctuation	226	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	295	32.6%
0	289	32.0%
1	164	18.1%
3	58	6.4%
9	25	2.8%
8	20	2.2%
7	19	2.1%
4	16	1.8%
6	12	1.3%
5	6	0.7%

Dash Punctuation

Value	Count	Frequency (%)
-	226	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1130	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	295	26.1%
0	289	25.6%
-	226	20.0%
1	164	14.5%
3	58	5.1%
9	25	2.2%
8	20	1.8%
7	19	1.7%
4	16	1.4%
6	12	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1130	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	295	26.1%
0	289	25.6%
-	226	20.0%
1	164	14.5%
3	58	5.1%
9	25	2.2%
8	20	1.8%
7	19	1.7%
4	16	1.4%
6	12	1.1%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	36.8%
Missing	56
Missing (%)	49.6%
Memory size	1.0 KiB

2020-12-30	12
2021-01-07	10
2021-07-29	6
2021-01-05	4
2021-01-15	2
Other values (16)	23

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	570
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	15.8%

Sample

1st row	2022-03-02
2nd row	2022-05-27
3rd row	2021-01-20
4th row	2021-01-06
5th row	2021-01-07

Common Values

Value	Count	Frequency (%)
2020-12-30	12	10.6%
2021-01-07	10	8.8%
2021-07-29	6	5.3%
2021-01-05	4	3.5%
2021-01-15	2	1.8%
2021-01-20	2	1.8%
2021-01-09	2	1.8%
2021-01-14	2	1.8%
2021-01-27	2	1.8%
2022-01-01	2	1.8%
Other values (11)	13	11.5%
(Missing)	56	49.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-30	12	21.1%
2021-01-07	10	17.5%
2021-07-29	6	10.5%
2021-01-05	4	7.0%
2021-01-27	2	3.5%
2021-02-28	2	3.5%
2022-01-01	2	3.5%
2021-02-03	2	3.5%
2021-01-14	2	3.5%
2021-01-09	2	3.5%
Other values (11)	13	22.8%

Most occurring characters

Value	Count	Frequency (%)
2	152	26.7%
0	151	26.5%
-	114	20.0%
1	92	16.1%
3	21	3.7%
7	19	3.3%
9	8	1.4%
5	7	1.2%
4	3	0.5%
8	2	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	456	80.0%
Dash Punctuation	114	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	152	33.3%
0	151	33.1%
1	92	20.2%
3	21	4.6%
7	19	4.2%
9	8	1.8%
5	7	1.5%
4	3	0.7%
8	2	0.4%
6	1	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	114	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	570	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	152	26.7%
0	151	26.5%
-	114	20.0%
1	92	16.1%
3	21	3.7%
7	19	3.3%
9	8	1.4%
5	7	1.2%
4	3	0.5%
8	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	570	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	152	26.7%
0	151	26.5%
-	114	20.0%
1	92	16.1%
3	21	3.7%
7	19	3.3%
9	8	1.4%
5	7	1.2%
4	3	0.5%
8	2	0.4%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	64
Distinct (%)	63.4%
Missing	12
Missing (%)	10.6%
Memory size	1.0 KiB

https://www.netflix.com/title/81087405	8
https://www.netflix.com/title/81075958	6
https://www.netflix.com/title/81002438	6
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6
https://www.netflix.com/title/81010965	5
Other values (59)	70

Length

Max length	250
Median length	79
Mean length	48.18811881
Min length	18

Characters and Unicode

Total characters	4867
Distinct characters	75
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49 ?
Unique (%)	48.5%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	https://okko.tv/serial/zona-komforta
3rd row	https://start.ru/watch/passazhiry
4th row	https://v.qq.com/detail/m/mzc00200hc38s5x.html
5th row	https://v.qq.com/detail/w/ww18u675tfmhas6.html

Common Values

Value	Count	Frequency (%)
https://www.netflix.com/title/81087405	8	7.1%
https://www.netflix.com/title/81075958	6	5.3%
https://www.netflix.com/title/81002438	6	5.3%
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6	5.3%
https://www.netflix.com/title/81010965	5	4.4%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	3	2.7%
https://www.bilibili.com/bangumi/media/md28233953	2	1.8%
https://www.netflix.com/title/81219073	2	1.8%
https://www.tytnetwork.com	2	1.8%
https://www.gain.tv/t/21DN4vz5/10-bin-adim	2	1.8%
Other values (54)	59	52.2%
(Missing)	12	10.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.netflix.com/title/81087405	8	7.9%
https://www.netflix.com/title/81002438	6	5.9%
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6	5.9%
https://www.netflix.com/title/81075958	6	5.9%
https://www.netflix.com/title/81010965	5	5.0%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	3	3.0%
https://v.qq.com/detail/u/umpnsyqfu7f60se.html	2	2.0%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.0%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.0%
http://www.iqiyi.com/a_19rrhvpyyp.html	2	2.0%
Other values (54)	59	58.4%

Most occurring characters

Value	Count	Frequency (%)
t	431	8.9%
/	410	8.4%
w	234	4.8%
.	214	4.4%
s	204	4.2%
e	190	3.9%
o	172	3.5%
m	171	3.5%
h	169	3.5%
i	166	3.4%
Other values (65)	2506	51.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3007	61.8%
Other Punctuation	863	17.7%
Decimal Number	598	12.3%
Uppercase Letter	321	6.6%
Dash Punctuation	38	0.8%
Math Symbol	26	0.5%
Connector Punctuation	14	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	431	14.3%
w	234	7.8%
s	204	6.8%
e	190	6.3%
o	172	5.7%
m	171	5.7%
h	169	5.6%
i	166	5.5%
l	164	5.5%
p	147	4.9%
Other values (16)	959	31.9%

Uppercase Letter

Value	Count	Frequency (%)
B	49	15.3%
E	43	13.4%
A	26	8.1%
L	21	6.5%
P	14	4.4%
D	14	4.4%
Y	14	4.4%
W	13	4.0%
R	11	3.4%
H	10	3.1%
Other values (16)	106	33.0%

Decimal Number

Value	Count	Frequency (%)
0	133	22.2%
8	99	16.6%
1	73	12.2%
5	65	10.9%
9	54	9.0%
4	43	7.2%
2	41	6.9%
7	36	6.0%
3	28	4.7%
6	26	4.3%

Other Punctuation

Value	Count	Frequency (%)
/	410	47.5%
.	214	24.8%
%	111	12.9%
:	101	11.7%
?	14	1.6%
&	9	1.0%
'	2	0.2%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	23	88.5%
+	3	11.5%

Dash Punctuation

Value	Count	Frequency (%)
-	38	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3328	68.4%
Common	1539	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	431	13.0%
w	234	7.0%
s	204	6.1%
e	190	5.7%
o	172	5.2%
m	171	5.1%
h	169	5.1%
i	166	5.0%
l	164	4.9%
p	147	4.4%
Other values (42)	1280	38.5%

Common

Value	Count	Frequency (%)
/	410	26.6%
.	214	13.9%
0	133	8.6%
%	111	7.2%
:	101	6.6%
8	99	6.4%
1	73	4.7%
5	65	4.2%
9	54	3.5%
4	43	2.8%
Other values (13)	236	15.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4867	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	431	8.9%
/	410	8.4%
w	234	4.8%
.	214	4.4%
s	204	4.2%
e	190	3.9%
o	172	3.5%
m	171	3.5%
h	169	3.5%
i	166	3.4%
Other values (65)	2506	51.5%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

	82
20:00	14
12:30	6
19:00	3
10:00	2
Other values (4)	6

Length

Max length	5
Median length	0
Mean length	1.371681416
Min length	0

Characters and Unicode

Total characters	155
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	1.8%

Sample

1st row
2nd row
3rd row
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
	82	72.6%
20:00	14	12.4%
12:30	6	5.3%
19:00	3	2.7%
10:00	2	1.8%
18:00	2	1.8%
00:00	2	1.8%
08:30	1	0.9%
20:30	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
20:00	14	45.2%
12:30	6	19.4%
19:00	3	9.7%
10:00	2	6.5%
18:00	2	6.5%
00:00	2	6.5%
08:30	1	3.2%
20:30	1	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	76	49.0%
:	31	20.0%
2	21	13.5%
1	13	8.4%
3	8	5.2%
9	3	1.9%
8	3	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	124	80.0%
Other Punctuation	31	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	76	61.3%
2	21	16.9%
1	13	10.5%
3	8	6.5%
9	3	2.4%
8	3	2.4%

Other Punctuation

Value	Count	Frequency (%)
:	31	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	155	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	76	49.0%
:	31	20.0%
2	21	13.5%
1	13	8.4%
3	8	5.2%
9	3	1.9%
8	3	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	155	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	76	49.0%
:	31	20.0%
2	21	13.5%
1	13	8.4%
3	8	5.2%
9	3	1.9%
8	3	1.9%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

_embedded.show.rating.average
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	35.3%
Missing	96
Missing (%)	85.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.552941176

Minimum	3.6
Maximum	8.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	3.6
5-th percentile	5.68
Q1	6.2
median	6.6
Q3	6.6
95-th percentile	8
Maximum	8.8
Range	5.2
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	1.02841969
Coefficient of variation (CV)	0.1569401681
Kurtosis	4.841969864
Mean	6.552941176
Median Absolute Deviation (MAD)	0.4
Skewness	-0.7935217721
Sum	111.4
Variance	1.057647059
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
6.6	6	5.3%
6.2	6	5.3%
7.2	2	1.8%
7.8	1	0.9%
8.8	1	0.9%
3.6	1	0.9%
(Missing)	96	85.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.6	1	0.9%
6.2	6	5.3%
6.6	6	5.3%
7.2	2	1.8%
7.8	1	0.9%
8.8	1	0.9%

Value	Count	Frequency (%)
8.8	1	0.9%
7.8	1	0.9%
7.2	2	1.8%
6.6	6	5.3%
6.2	6	5.3%
3.6	1	0.9%

_embedded.show.weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	46
Distinct (%)	40.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.68141593

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	17
median	27
Q3	51
95-th percentile	93
Maximum	100
Range	99
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	28.23854556
Coefficient of variation (CV)	0.7698324844
Kurtosis	-0.5307522215
Mean	36.68141593
Median Absolute Deviation (MAD)	14
Skewness	0.8000220076
Sum	4145
Variance	797.4154551
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
51	8	7.1%
1	8	7.1%
34	7	6.2%
83	7	6.2%
21	7	6.2%
93	6	5.3%
27	4	3.5%
8	4	3.5%
13	3	2.7%
19	3	2.7%
Other values (36)	56	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	8	7.1%
3	3	2.7%
5	1	0.9%
7	2	1.8%
8	4	3.5%
13	3	2.7%
14	2	1.8%
15	2	1.8%
16	3	2.7%
17	1	0.9%

Value	Count	Frequency (%)
100	1	0.9%
93	6	5.3%
92	1	0.9%
86	2	1.8%
83	7	6.2%
82	1	0.9%
81	1	0.9%
79	1	0.9%
78	1	0.9%
66	1	0.9%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	113
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.webChannel.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	25.9%
Missing	1
Missing (%)	0.9%
Infinite	0
Infinite (%)	0.0%
Mean	88.74107143

Minimum	1
Maximum	447
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2.5
median	30
Q3	104
95-th percentile	379
Maximum	447
Range	446
Interquartile range (IQR)	101.5

Descriptive statistics

Standard deviation	116.4046798
Coefficient of variation (CV)	1.311733991
Kurtosis	2.160789278
Mean	88.74107143
Median Absolute Deviation (MAD)	29
Skewness	1.725766534
Sum	9939
Variance	13550.04947
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
1	28	24.8%
21	22	19.5%
104	19	16.8%
67	6	5.3%
30	4	3.5%
379	3	2.7%
118	3	2.7%
51	2	1.8%
447	2	1.8%
226	2	1.8%
Other values (19)	21	18.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	28	24.8%
3	1	0.9%
15	1	0.9%
20	1	0.9%
21	22	19.5%
26	1	0.9%
30	4	3.5%
40	1	0.9%
45	1	0.9%
51	2	1.8%

Value	Count	Frequency (%)
447	2	1.8%
445	1	0.9%
380	2	1.8%
379	3	2.7%
366	1	0.9%
327	1	0.9%
311	1	0.9%
245	1	0.9%
238	1	0.9%
226	2	1.8%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION

Distinct	29
Distinct (%)	25.9%
Missing	1
Missing (%)	0.9%
Memory size	1.0 KiB

Netflix	28
YouTube	22
Tencent QQ	19
iQIYI	6
Naver TVCast	4
Other values (24)	33

Length

Max length	17
Median length	14
Mean length	7.732142857
Min length	4

Characters and Unicode

Total characters	866
Distinct characters	49
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	15.2%

Sample

1st row	YouTube
2nd row	Okko
3rd row	Start
4th row	Tencent QQ
5th row	Tencent QQ

Common Values

Value	Count	Frequency (%)
Netflix	28	24.8%
YouTube	22	19.5%
Tencent QQ	19	16.8%
iQIYI	6	5.3%
Naver TVCast	4	3.5%
Shahid	3	2.7%
Youku	3	2.7%
Bilibili	2	1.8%
GAIN	2	1.8%
Mango TV	2	1.8%
Other values (19)	21	18.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
netflix	28	18.5%
youtube	22	14.6%
tencent	19	12.6%
qq	19	12.6%
tv	7	4.6%
iqiyi	6	4.0%
naver	4	2.6%
tvcast	4	2.6%
shahid	3	2.0%
youku	3	2.0%
Other values (31)	36	23.8%

Most occurring characters

Value	Count	Frequency (%)
e	104	12.0%
t	58	6.7%
T	53	6.1%
u	53	6.1%
i	52	6.0%
Q	44	5.1%
n	44	5.1%
l	39	4.5%
	39	4.5%
N	38	4.4%
Other values (39)	342	39.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	573	66.2%
Uppercase Letter	252	29.1%
Space Separator	39	4.5%
Math Symbol	1	0.1%
Decimal Number	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	104	18.2%
t	58	10.1%
u	53	9.2%
i	52	9.1%
n	44	7.7%
l	39	6.8%
o	37	6.5%
x	28	4.9%
f	28	4.9%
b	25	4.4%
Other values (14)	105	18.3%

Uppercase Letter

Value	Count	Frequency (%)
T	53	21.0%
Q	44	17.5%
N	38	15.1%
Y	31	12.3%
I	17	6.7%
V	13	5.2%
C	8	3.2%
S	6	2.4%
B	6	2.4%
P	6	2.4%
Other values (12)	30	11.9%

Space Separator

Value	Count	Frequency (%)
	39	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Decimal Number

Value	Count	Frequency (%)
2	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	825	95.3%
Common	41	4.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	104	12.6%
t	58	7.0%
T	53	6.4%
u	53	6.4%
i	52	6.3%
Q	44	5.3%
n	44	5.3%
l	39	4.7%
N	38	4.6%
o	37	4.5%
Other values (36)	303	36.7%

Common

Value	Count	Frequency (%)
	39	95.1%
+	1	2.4%
2	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	866	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	104	12.0%
t	58	6.7%
T	53	6.1%
u	53	6.1%
i	52	6.0%
Q	44	5.1%
n	44	5.1%
l	39	4.5%
	39	4.5%
N	38	4.4%
Other values (39)	342	39.5%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	113
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	13.5%
Missing	24
Missing (%)	21.2%
Memory size	1.0 KiB

https://www.netflix.com/	28
https://www.youtube.com	22
https://v.qq.com/	19
https://www.iq.com/	6
https://tv.naver.com/	4
Other values (7)	10

Length

Max length	30
Median length	29
Mean length	21.84269663
Min length	17

Characters and Unicode

Total characters	1944
Distinct characters	28
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	4.5%

Sample

1st row	https://www.youtube.com
2nd row	https://v.qq.com/
3rd row	https://v.qq.com/
4th row	https://www.seezntv.com/
5th row	https://tv.naver.com/

Common Values

Value	Count	Frequency (%)
https://www.netflix.com/	28	24.8%
https://www.youtube.com	22	19.5%
https://v.qq.com/	19	16.8%
https://www.iq.com/	6	5.3%
https://tv.naver.com/	4	3.5%
https://www.seezntv.com/	2	1.8%
https://w.mgtv.com/	2	1.8%
https://www.linetv.tw/	2	1.8%
https://www.primevideo.com	1	0.9%
http://www.wowpresentsplus.com	1	0.9%
Other values (2)	2	1.8%
(Missing)	24	21.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.netflix.com	28	31.5%
https://www.youtube.com	22	24.7%
https://v.qq.com	19	21.3%
https://www.iq.com	6	6.7%
https://tv.naver.com	4	4.5%
https://www.seezntv.com	2	2.2%
https://w.mgtv.com	2	2.2%
https://www.linetv.tw	2	2.2%
https://www.primevideo.com	1	1.1%
http://www.wowpresentsplus.com	1	1.1%
Other values (2)	2	2.2%

Most occurring characters

Value	Count	Frequency (%)
/	243	12.5%
t	241	12.4%
w	198	10.2%
.	179	9.2%
o	112	5.8%
s	95	4.9%
p	94	4.8%
h	89	4.6%
m	89	4.6%
c	89	4.6%
Other values (18)	515	26.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1433	73.7%
Other Punctuation	511	26.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	241	16.8%
w	198	13.8%
o	112	7.8%
s	95	6.6%
p	94	6.6%
h	89	6.2%
m	89	6.2%
c	89	6.2%
e	66	4.6%
u	47	3.3%
Other values (15)	313	21.8%

Other Punctuation

Value	Count	Frequency (%)
/	243	47.6%
.	179	35.0%
:	89	17.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1433	73.7%
Common	511	26.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	241	16.8%
w	198	13.8%
o	112	7.8%
s	95	6.6%
p	94	6.6%
h	89	6.2%
m	89	6.2%
c	89	6.2%
e	66	4.6%
u	47	3.3%
Other values (15)	313	21.8%

Common

Value	Count	Frequency (%)
/	243	47.6%
.	179	35.0%
:	89	17.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1944	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	243	12.5%
t	241	12.4%
w	198	10.2%
.	179	9.2%
o	112	5.8%
s	95	4.9%
p	94	4.8%
h	89	4.6%
m	89	4.6%
c	89	4.6%
Other values (18)	515	26.5%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	113
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	3
Distinct (%)	100.0%
Missing	110
Missing (%)	97.3%
Memory size	1.0 KiB

41967.0	1
19056.0	1
25100.0	1

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	21
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	100.0%

Sample

1st row	41967.0
2nd row	19056.0
3rd row	25100.0

Common Values

Value	Count	Frequency (%)
41967.0	1	0.9%
19056.0	1	0.9%
25100.0	1	0.9%
(Missing)	110	97.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
41967.0	1	33.3%
19056.0	1	33.3%
25100.0	1	33.3%

Most occurring characters

Value	Count	Frequency (%)
0	6	28.6%
1	3	14.3%
.	3	14.3%
9	2	9.5%
6	2	9.5%
5	2	9.5%
4	1	4.8%
7	1	4.8%
2	1	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18	85.7%
Other Punctuation	3	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6	33.3%
1	3	16.7%
9	2	11.1%
6	2	11.1%
5	2	11.1%
4	1	5.6%
7	1	5.6%
2	1	5.6%

Other Punctuation

Value	Count	Frequency (%)
.	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6	28.6%
1	3	14.3%
.	3	14.3%
9	2	9.5%
6	2	9.5%
5	2	9.5%
4	1	4.8%
7	1	4.8%
2	1	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6	28.6%
1	3	14.3%
.	3	14.3%
9	2	9.5%
6	2	9.5%
5	2	9.5%
4	1	4.8%
7	1	4.8%
2	1	4.8%

_embedded.show.externals.thetvdb
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	61.0%
Missing	31
Missing (%)	27.4%
Infinite	0
Infinite (%)	0.0%
Mean	369502.4634

Minimum	104271
Maximum	408034
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	104271
5-th percentile	274405.9
Q1	374690
median	391910.5
Q3	393381
95-th percentile	395119.1
Maximum	408034
Range	303763
Interquartile range (IQR)	18691

Descriptive statistics

Standard deviation	51468.39951
Coefficient of variation (CV)	0.1392910863
Kurtosis	12.33747818
Mean	369502.4634
Median Absolute Deviation (MAD)	4087.5
Skewness	-3.301920758
Sum	30299202
Variance	2648996148
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
392657	8	7.1%
377694	6	5.3%
383152	6	5.3%
394278	5	4.4%
392214	3	2.7%
360222	2	1.8%
393381	2	1.8%
392410	2	1.8%
392227	2	1.8%
392679	2	1.8%
Other values (40)	44	38.9%
(Missing)	31	27.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
104271	1	0.9%
144541	1	0.9%
247956	1	0.9%
265193	1	0.9%
274175	1	0.9%
278793	2	1.8%
280619	1	0.9%
315061	1	0.9%
336628	1	0.9%
338631	1	0.9%

Value	Count	Frequency (%)
408034	1	0.9%
404769	1	0.9%
396121	1	0.9%
395235	1	0.9%
395145	1	0.9%
394627	1	0.9%
394278	5	4.4%
394225	2	1.8%
394206	1	0.9%
394087	1	0.9%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct	32
Distinct (%)	52.5%
Missing	52
Missing (%)	46.0%
Memory size	1.0 KiB

tt13563634	8
tt9789660	6
tt10973800	6
tt13731400	5
tt13599000	2
Other values (27)	34

Length

Max length	10
Median length	10
Mean length	9.704918033
Min length	9

Characters and Unicode

Total characters	592
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	32.8%

Sample

1st row	tt13695606
2nd row	tt13423446
3rd row	tt11939550
4th row	tt11939550
5th row	tt13470370

Common Values

Value	Count	Frequency (%)
tt13563634	8	7.1%
tt9789660	6	5.3%
tt10973800	6	5.3%
tt13731400	5	4.4%
tt13599000	2	1.8%
tt13568876	2	1.8%
tt11434874	2	1.8%
tt13598988	2	1.8%
tt13470984	2	1.8%
tt13470370	2	1.8%
Other values (22)	24	21.2%
(Missing)	52	46.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tt13563634	8	13.1%
tt10973800	6	9.8%
tt9789660	6	9.8%
tt13731400	5	8.2%
tt13470984	2	3.3%
tt1714810	2	3.3%
tt13470370	2	3.3%
tt11939550	2	3.3%
tt13598988	2	3.3%
tt11434874	2	3.3%
Other values (22)	24	39.3%

Most occurring characters

Value	Count	Frequency (%)
t	122	20.6%
1	70	11.8%
3	67	11.3%
0	64	10.8%
6	56	9.5%
9	48	8.1%
4	46	7.8%
8	39	6.6%
7	35	5.9%
5	32	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	470	79.4%
Lowercase Letter	122	20.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	70	14.9%
3	67	14.3%
0	64	13.6%
6	56	11.9%
9	48	10.2%
4	46	9.8%
8	39	8.3%
7	35	7.4%
5	32	6.8%
2	13	2.8%

Lowercase Letter

Value	Count	Frequency (%)
t	122	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	470	79.4%
Latin	122	20.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	70	14.9%
3	67	14.3%
0	64	13.6%
6	56	11.9%
9	48	10.2%
4	46	9.8%
8	39	8.3%
7	35	7.4%
5	32	6.8%
2	13	2.8%

Latin

Value	Count	Frequency (%)
t	122	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	122	20.6%
1	70	11.8%
3	67	11.3%
0	64	10.8%
6	56	9.5%
9	48	8.1%
4	46	7.8%
8	39	6.6%
7	35	5.9%
5	32	5.4%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	68
Distinct (%)	62.4%
Missing	4
Missing (%)	3.5%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/medium_portrait/290/726567.jpg	8
https://static.tvmaze.com/uploads/images/medium_portrait/284/712082.jpg	6
https://static.tvmaze.com/uploads/images/medium_portrait/289/724883.jpg	6
https://static.tvmaze.com/uploads/images/medium_portrait/405/1014510.jpg	6
https://static.tvmaze.com/uploads/images/medium_portrait/291/727946.jpg	5
Other values (63)	78

Length

Max length	72
Median length	71
Mean length	71.11009174
Min length	70

Characters and Unicode

Total characters	7751
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49 ?
Unique (%)	45.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_portrait/282/706515.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_portrait/394/986714.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_portrait/267/669816.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/726567.jpg	8	7.1%
https://static.tvmaze.com/uploads/images/medium_portrait/284/712082.jpg	6	5.3%
https://static.tvmaze.com/uploads/images/medium_portrait/289/724883.jpg	6	5.3%
https://static.tvmaze.com/uploads/images/medium_portrait/405/1014510.jpg	6	5.3%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727946.jpg	5	4.4%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731904.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/281/703743.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723488.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg	2	1.8%
Other values (58)	67	59.3%
(Missing)	4	3.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/290/726567.jpg	8	7.3%
https://static.tvmaze.com/uploads/images/medium_portrait/289/724883.jpg	6	5.5%
https://static.tvmaze.com/uploads/images/medium_portrait/405/1014510.jpg	6	5.5%
https://static.tvmaze.com/uploads/images/medium_portrait/284/712082.jpg	6	5.5%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727946.jpg	5	4.6%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg	3	2.8%
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729467.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/medium_portrait/370/926884.jpg	2	1.8%
Other values (58)	67	61.5%

Most occurring characters

Value	Count	Frequency (%)
t	763	9.8%
/	763	9.8%
m	545	7.0%
a	545	7.0%
p	436	5.6%
s	436	5.6%
i	436	5.6%
.	327	4.2%
o	327	4.2%
e	327	4.2%
Other values (22)	2846	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5450	70.3%
Other Punctuation	1199	15.5%
Decimal Number	993	12.8%
Connector Punctuation	109	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	763	14.0%
m	545	10.0%
a	545	10.0%
p	436	8.0%
s	436	8.0%
i	436	8.0%
o	327	6.0%
e	327	6.0%
u	218	4.0%
d	218	4.0%
Other values (8)	1199	22.0%

Decimal Number

Value	Count	Frequency (%)
2	156	15.7%
7	119	12.0%
1	113	11.4%
8	106	10.7%
9	100	10.1%
4	98	9.9%
0	87	8.8%
3	77	7.8%
6	73	7.4%
5	64	6.4%

Other Punctuation

Value	Count	Frequency (%)
/	763	63.6%
.	327	27.3%
:	109	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	109	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5450	70.3%
Common	2301	29.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	763	14.0%
m	545	10.0%
a	545	10.0%
p	436	8.0%
s	436	8.0%
i	436	8.0%
o	327	6.0%
e	327	6.0%
u	218	4.0%
d	218	4.0%
Other values (8)	1199	22.0%

Common

Value	Count	Frequency (%)
/	763	33.2%
.	327	14.2%
2	156	6.8%
7	119	5.2%
1	113	4.9%
_	109	4.7%
:	109	4.7%
8	106	4.6%
9	100	4.3%
4	98	4.3%
Other values (4)	301	13.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7751	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	763	9.8%
/	763	9.8%
m	545	7.0%
a	545	7.0%
p	436	5.6%
s	436	5.6%
i	436	5.6%
.	327	4.2%
o	327	4.2%
e	327	4.2%
Other values (22)	2846	36.7%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	68
Distinct (%)	62.4%
Missing	4
Missing (%)	3.5%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/original_untouched/290/726567.jpg	8
https://static.tvmaze.com/uploads/images/original_untouched/284/712082.jpg	6
https://static.tvmaze.com/uploads/images/original_untouched/289/724883.jpg	6
https://static.tvmaze.com/uploads/images/original_untouched/405/1014510.jpg	6
https://static.tvmaze.com/uploads/images/original_untouched/291/727946.jpg	5
Other values (63)	78

Length

Max length	75
Median length	74
Mean length	74.11009174
Min length	73

Characters and Unicode

Total characters	8078
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49 ?
Unique (%)	45.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/282/706515.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/394/986714.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/267/669816.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726567.jpg	8	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/284/712082.jpg	6	5.3%
https://static.tvmaze.com/uploads/images/original_untouched/289/724883.jpg	6	5.3%
https://static.tvmaze.com/uploads/images/original_untouched/405/1014510.jpg	6	5.3%
https://static.tvmaze.com/uploads/images/original_untouched/291/727946.jpg	5	4.4%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/292/731904.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/original_untouched/281/703743.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/723488.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg	2	1.8%
Other values (58)	67	59.3%
(Missing)	4	3.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726567.jpg	8	7.3%
https://static.tvmaze.com/uploads/images/original_untouched/289/724883.jpg	6	5.5%
https://static.tvmaze.com/uploads/images/original_untouched/405/1014510.jpg	6	5.5%
https://static.tvmaze.com/uploads/images/original_untouched/284/712082.jpg	6	5.5%
https://static.tvmaze.com/uploads/images/original_untouched/291/727946.jpg	5	4.6%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg	3	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729467.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg	2	1.8%
https://static.tvmaze.com/uploads/images/original_untouched/370/926884.jpg	2	1.8%
Other values (58)	67	61.5%

Most occurring characters

Value	Count	Frequency (%)
/	763	9.4%
t	654	8.1%
a	545	6.7%
s	436	5.4%
i	436	5.4%
o	436	5.4%
p	327	4.0%
c	327	4.0%
.	327	4.0%
g	327	4.0%
Other values (23)	3500	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5777	71.5%
Other Punctuation	1199	14.8%
Decimal Number	993	12.3%
Connector Punctuation	109	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	654	11.3%
a	545	9.4%
s	436	7.5%
i	436	7.5%
o	436	7.5%
p	327	5.7%
c	327	5.7%
g	327	5.7%
m	327	5.7%
e	327	5.7%
Other values (9)	1635	28.3%

Decimal Number

Value	Count	Frequency (%)
2	156	15.7%
7	119	12.0%
1	113	11.4%
8	106	10.7%
9	100	10.1%
4	98	9.9%
0	87	8.8%
3	77	7.8%
6	73	7.4%
5	64	6.4%

Other Punctuation

Value	Count	Frequency (%)
/	763	63.6%
.	327	27.3%
:	109	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	109	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5777	71.5%
Common	2301	28.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	654	11.3%
a	545	9.4%
s	436	7.5%
i	436	7.5%
o	436	7.5%
p	327	5.7%
c	327	5.7%
g	327	5.7%
m	327	5.7%
e	327	5.7%
Other values (9)	1635	28.3%

Common

Value	Count	Frequency (%)
/	763	33.2%
.	327	14.2%
2	156	6.8%
7	119	5.2%
1	113	4.9%
:	109	4.7%
_	109	4.7%
8	106	4.6%
9	100	4.3%
4	98	4.3%
Other values (4)	301	13.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8078	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	763	9.4%
t	654	8.1%
a	545	6.7%
s	436	5.4%
i	436	5.4%
o	436	5.4%
p	327	4.0%
c	327	4.0%
.	327	4.0%
g	327	4.0%
Other values (23)	3500	43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	63
Distinct (%)	60.6%
Missing	9
Missing (%)	8.0%
Memory size	1.0 KiB

<p>The kings & queens of leftover cooking will take a leftover dish on an epic journey across two rounds. Each half-hour after party, our home cooks will compete in the ultimate food makeover, finding ways to give old leftovers new life, all in the hopes of winning a $10,000 prize! Join host Jackie Tohn and judges David So and Rosemary Shrager as they watch our contestants transform leftovers into delicious creations. </p>	8
<p><b>Equinox</b> is a character-driven supernatural thriller about a young woman named Astrid, who is affected by the unexplainable disappearance of a school class in 1999. The series is set in Denmark and swipes back and forth between 1999, where it all started, and the present time.</p><p>Astrid is only 10 years old in the year 1999 when a class of graduating students inexplicably disappears without a trace. Astrid, who was close to one of the missing students becomes traumatized and plagued by horrific visions after the disappearance. In 2020, Astrid is peacefully living with her family when all of a sudden the nightmares come back and start haunting her. When the one survivor from 1999 mysteriously dies, Astrid is determined to find out what happened to the class, only to discover a dark and unsettling truth that involves her in ways she never imagined.</p>	6
<p><b>Transformers: War for Cybertron Trilogy</b> is a three-part arc following the war between the Autobots and Decepticons, complete with a new animation look and style.</p>	6
<p>Young noble Chu Yun Xiao crosses paths with female doctor Leng Xing Chen because of a beauty portrait. Together with their friends, the six people who are pulled into a terrifying conspiracy form a detective team to uncover the secrets surrounding the portrait. Chu Yunxiao has ventured into the pugilistic world for the first time. Aspiring to be a chivalrous hero, he relies on his outstanding martial arts skills and high intelligence to solve a difficult case. However, he unexpectedly discovers that he is also a chess piece in this dangerous game. As the fog is slowly lifted, Chu Yun Xiao becomes aware of an unbearable truth that the past twenty years of his life was nothing but a lie.</p>	6
<p>Amidst a heroin crisis, Vincenzo Muccioli cared for the addicted, earning him fierce public devotion — even as charges of violence began to mount.</p>	5
Other values (58)	73

Length

Max length	1253
Median length	575
Mean length	410.2980769
Min length	58

Characters and Unicode

Total characters	42671
Distinct characters	89
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	42.3%

Sample

1st row	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>
2nd row	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>
3rd row	<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>
4th row	<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>
5th row	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>

Common Values

Value	Count	Frequency (%)
<p>The kings & queens of leftover cooking will take a leftover dish on an epic journey across two rounds. Each half-hour after party, our home cooks will compete in the ultimate food makeover, finding ways to give old leftovers new life, all in the hopes of winning a $10,000 prize! Join host Jackie Tohn and judges David So and Rosemary Shrager as they watch our contestants transform leftovers into delicious creations. </p>	8	7.1%
<p><b>Equinox</b> is a character-driven supernatural thriller about a young woman named Astrid, who is affected by the unexplainable disappearance of a school class in 1999. The series is set in Denmark and swipes back and forth between 1999, where it all started, and the present time.</p><p>Astrid is only 10 years old in the year 1999 when a class of graduating students inexplicably disappears without a trace. Astrid, who was close to one of the missing students becomes traumatized and plagued by horrific visions after the disappearance. In 2020, Astrid is peacefully living with her family when all of a sudden the nightmares come back and start haunting her. When the one survivor from 1999 mysteriously dies, Astrid is determined to find out what happened to the class, only to discover a dark and unsettling truth that involves her in ways she never imagined.</p>	6	5.3%
<p><b>Transformers: War for Cybertron Trilogy</b> is a three-part arc following the war between the Autobots and Decepticons, complete with a new animation look and style.</p>	6	5.3%
<p>Young noble Chu Yun Xiao crosses paths with female doctor Leng Xing Chen because of a beauty portrait. Together with their friends, the six people who are pulled into a terrifying conspiracy form a detective team to uncover the secrets surrounding the portrait. Chu Yunxiao has ventured into the pugilistic world for the first time. Aspiring to be a chivalrous hero, he relies on his outstanding martial arts skills and high intelligence to solve a difficult case. However, he unexpectedly discovers that he is also a chess piece in this dangerous game. As the fog is slowly lifted, Chu Yun Xiao becomes aware of an unbearable truth that the past twenty years of his life was nothing but a lie.</p>	6	5.3%
<p>Amidst a heroin crisis, Vincenzo Muccioli cared for the addicted, earning him fierce public devotion — even as charges of violence began to mount.</p>	5	4.4%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	3	2.7%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	1.8%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>	2	1.8%
<p>Princess Ming Yue and Li Qiang, the emperor's ninth prince, are forced to marry in order to keep the peace in their kingdoms. As the princess finally seems to be getting used to her new life in Chang'An (an ancient Chinese capital), there are plots hovering against her and the royal family.</p>	2	1.8%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	2	1.8%
Other values (53)	62	54.9%
(Missing)	9	8.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	371	5.2%
a	255	3.6%
and	227	3.2%
to	201	2.8%
of	179	2.5%
in	132	1.9%
is	92	1.3%
with	75	1.1%
his	65	0.9%
her	65	0.9%
Other values (1646)	5444	76.6%

Most occurring characters

Value	Count	Frequency (%)
	6985	16.4%
e	3987	9.3%
t	2674	6.3%
a	2641	6.2%
n	2467	5.8%
o	2403	5.6%
i	2398	5.6%
s	2186	5.1%
r	2086	4.9%
h	1664	3.9%
Other values (79)	13180	30.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32439	76.0%
Space Separator	7007	16.4%
Uppercase Letter	1179	2.8%
Other Punctuation	1014	2.4%
Math Symbol	672	1.6%
Decimal Number	244	0.6%
Dash Punctuation	84	0.2%
Format	12	< 0.1%
Currency Symbol	8	< 0.1%
Open Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3987	12.3%
t	2674	8.2%
a	2641	8.1%
n	2467	7.6%
o	2403	7.4%
i	2398	7.4%
s	2186	6.7%
r	2086	6.4%
h	1664	5.1%
l	1271	3.9%
Other values (22)	8662	26.7%

Uppercase Letter

Value	Count	Frequency (%)
S	120	10.2%
A	111	9.4%
T	99	8.4%
W	83	7.0%
Y	75	6.4%
C	71	6.0%
L	66	5.6%
D	59	5.0%
M	56	4.7%
X	47	4.0%
Other values (16)	392	33.2%

Other Punctuation

Value	Count	Frequency (%)
,	369	36.4%
.	339	33.4%
/	178	17.6%
'	52	5.1%
"	21	2.1%
!	15	1.5%
:	14	1.4%
?	9	0.9%
;	8	0.8%
&	8	0.8%

Decimal Number

Value	Count	Frequency (%)
9	76	31.1%
0	72	29.5%
1	51	20.9%
2	30	12.3%
8	5	2.0%
3	4	1.6%
5	3	1.2%
7	2	0.8%
4	1	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	66	78.6%
—	16	19.0%
–	2	2.4%

Space Separator

Value	Count	Frequency (%)
	6985	99.7%
	22	0.3%

Math Symbol

Value	Count	Frequency (%)
<	336	50.0%
>	336	50.0%

Format

Value	Count	Frequency (%)
‎	12	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33618	78.8%
Common	9053	21.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3987	11.9%
t	2674	8.0%
a	2641	7.9%
n	2467	7.3%
o	2403	7.1%
i	2398	7.1%
s	2186	6.5%
r	2086	6.2%
h	1664	4.9%
l	1271	3.8%
Other values (48)	9841	29.3%

Common

Value	Count	Frequency (%)
	6985	77.2%
,	369	4.1%
.	339	3.7%
<	336	3.7%
>	336	3.7%
/	178	2.0%
9	76	0.8%
0	72	0.8%
-	66	0.7%
'	52	0.6%
Other values (21)	244	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42610	99.9%
Punctuation	31	0.1%
None	30	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6985	16.4%
e	3987	9.4%
t	2674	6.3%
a	2641	6.2%
n	2467	5.8%
o	2403	5.6%
i	2398	5.6%
s	2186	5.1%
r	2086	4.9%
h	1664	3.9%
Other values (68)	13119	30.8%

None

Value	Count	Frequency (%)
	22	73.3%
á	2	6.7%
č	2	6.7%
ė	1	3.3%
ū	1	3.3%
é	1	3.3%
å	1	3.3%

Punctuation

Value	Count	Frequency (%)
—	16	51.6%
‎	12	38.7%
–	2	6.5%
…	1	3.2%

_embedded.show.updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	63.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1636759762

Minimum	1609402718
Maximum	1662380496
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1609402718
5-th percentile	1609482172
Q1	1613754307
median	1645056856
Q3	1650908800
95-th percentile	1661963386
Maximum	1662380496
Range	52977778
Interquartile range (IQR)	37154493

Descriptive statistics

Standard deviation	19411405.42
Coefficient of variation (CV)	0.01185965459
Kurtosis	-1.601644779
Mean	1636759762
Median Absolute Deviation (MAD)	16428873
Skewness	-0.2213085581
Sum	1.849538531 × 10¹¹
Variance	3.768026602 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1613214909	8	7.1%
1609402718	6	5.3%
1650622651	6	5.3%
1646120734	6	5.3%
1613754307	5	4.4%
1609535141	3	2.7%
1648190058	2	1.8%
1615058554	2	1.8%
1612478145	2	1.8%
1645370434	2	1.8%
Other values (62)	71	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1609402718	6	5.3%
1609535141	3	2.7%
1611189179	1	0.9%
1612378117	1	0.9%
1612478145	2	1.8%
1612479920	1	0.9%
1612842583	2	1.8%
1612980960	1	0.9%
1613088348	1	0.9%
1613147923	1	0.9%

Value	Count	Frequency (%)
1662380496	1	0.9%
1662346277	1	0.9%
1662275668	1	0.9%
1662217931	1	0.9%
1662050133	1	0.9%
1661969159	1	0.9%
1661959538	1	0.9%
1661872561	1	0.9%
1661864044	1	0.9%
1661690045	1	0.9%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	63.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://api.tvmaze.com/shows/52615	8
https://api.tvmaze.com/shows/43890	6
https://api.tvmaze.com/shows/61556	6
https://api.tvmaze.com/shows/42387	6
https://api.tvmaze.com/shows/52708	5
Other values (67)	82

Length

Max length	34
Median length	34
Mean length	33.96460177
Min length	33

Characters and Unicode

Total characters	3838
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	46.9%

Sample

1st row	https://api.tvmaze.com/shows/49630
2nd row	https://api.tvmaze.com/shows/51510
3rd row	https://api.tvmaze.com/shows/52499
4th row	https://api.tvmaze.com/shows/49206
5th row	https://api.tvmaze.com/shows/49652

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52615	8	7.1%
https://api.tvmaze.com/shows/43890	6	5.3%
https://api.tvmaze.com/shows/61556	6	5.3%
https://api.tvmaze.com/shows/42387	6	5.3%
https://api.tvmaze.com/shows/52708	5	4.4%
https://api.tvmaze.com/shows/52104	3	2.7%
https://api.tvmaze.com/shows/15250	2	1.8%
https://api.tvmaze.com/shows/47226	2	1.8%
https://api.tvmaze.com/shows/52524	2	1.8%
https://api.tvmaze.com/shows/52931	2	1.8%
Other values (62)	71	62.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52615	8	7.1%
https://api.tvmaze.com/shows/61556	6	5.3%
https://api.tvmaze.com/shows/42387	6	5.3%
https://api.tvmaze.com/shows/43890	6	5.3%
https://api.tvmaze.com/shows/52708	5	4.4%
https://api.tvmaze.com/shows/52104	3	2.7%
https://api.tvmaze.com/shows/58689	2	1.8%
https://api.tvmaze.com/shows/52743	2	1.8%
https://api.tvmaze.com/shows/52421	2	1.8%
https://api.tvmaze.com/shows/52400	2	1.8%
Other values (62)	71	62.8%

Most occurring characters

Value	Count	Frequency (%)
/	452	11.8%
s	339	8.8%
t	339	8.8%
h	226	5.9%
p	226	5.9%
a	226	5.9%
o	226	5.9%
.	226	5.9%
m	226	5.9%
e	113	2.9%
Other values (16)	1239	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2486	64.8%
Other Punctuation	791	20.6%
Decimal Number	561	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	339	13.6%
t	339	13.6%
h	226	9.1%
p	226	9.1%
a	226	9.1%
o	226	9.1%
m	226	9.1%
e	113	4.5%
w	113	4.5%
c	113	4.5%
Other values (3)	339	13.6%

Decimal Number

Value	Count	Frequency (%)
5	104	18.5%
2	74	13.2%
4	69	12.3%
6	59	10.5%
1	48	8.6%
8	46	8.2%
0	44	7.8%
7	42	7.5%
3	40	7.1%
9	35	6.2%

Other Punctuation

Value	Count	Frequency (%)
/	452	57.1%
.	226	28.6%
:	113	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2486	64.8%
Common	1352	35.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	452	33.4%
.	226	16.7%
:	113	8.4%
5	104	7.7%
2	74	5.5%
4	69	5.1%
6	59	4.4%
1	48	3.6%
8	46	3.4%
0	44	3.3%
Other values (3)	117	8.7%

Latin

Value	Count	Frequency (%)
s	339	13.6%
t	339	13.6%
h	226	9.1%
p	226	9.1%
a	226	9.1%
o	226	9.1%
m	226	9.1%
e	113	4.5%
w	113	4.5%
c	113	4.5%
Other values (3)	339	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3838	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	452	11.8%
s	339	8.8%
t	339	8.8%
h	226	5.9%
p	226	5.9%
a	226	5.9%
o	226	5.9%
.	226	5.9%
m	226	5.9%
e	113	2.9%
Other values (16)	1239	32.3%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	63.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://api.tvmaze.com/episodes/1995747	8
https://api.tvmaze.com/episodes/1976487	6
https://api.tvmaze.com/episodes/2312241	6
https://api.tvmaze.com/episodes/2137797	6
https://api.tvmaze.com/episodes/1995755	5
Other values (67)	82

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4407
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	46.9%

Sample

1st row	https://api.tvmaze.com/episodes/2380515
2nd row	https://api.tvmaze.com/episodes/2287139
3rd row	https://api.tvmaze.com/episodes/2270905
4th row	https://api.tvmaze.com/episodes/2386129
5th row	https://api.tvmaze.com/episodes/2374448

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1995747	8	7.1%
https://api.tvmaze.com/episodes/1976487	6	5.3%
https://api.tvmaze.com/episodes/2312241	6	5.3%
https://api.tvmaze.com/episodes/2137797	6	5.3%
https://api.tvmaze.com/episodes/1995755	5	4.4%
https://api.tvmaze.com/episodes/1976054	3	2.7%
https://api.tvmaze.com/episodes/2301276	2	1.8%
https://api.tvmaze.com/episodes/2042718	2	1.8%
https://api.tvmaze.com/episodes/1988079	2	1.8%
https://api.tvmaze.com/episodes/2280169	2	1.8%
Other values (62)	71	62.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1995747	8	7.1%
https://api.tvmaze.com/episodes/2312241	6	5.3%
https://api.tvmaze.com/episodes/2137797	6	5.3%
https://api.tvmaze.com/episodes/1976487	6	5.3%
https://api.tvmaze.com/episodes/1995755	5	4.4%
https://api.tvmaze.com/episodes/1976054	3	2.7%
https://api.tvmaze.com/episodes/2205983	2	1.8%
https://api.tvmaze.com/episodes/1997552	2	1.8%
https://api.tvmaze.com/episodes/1985496	2	1.8%
https://api.tvmaze.com/episodes/1984963	2	1.8%
Other values (62)	71	62.8%

Most occurring characters

Value	Count	Frequency (%)
/	452	10.3%
t	339	7.7%
p	339	7.7%
s	339	7.7%
e	339	7.7%
a	226	5.1%
i	226	5.1%
.	226	5.1%
m	226	5.1%
o	226	5.1%
Other values (16)	1469	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2825	64.1%
Other Punctuation	791	17.9%
Decimal Number	791	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	339	12.0%
p	339	12.0%
s	339	12.0%
e	339	12.0%
a	226	8.0%
i	226	8.0%
m	226	8.0%
o	226	8.0%
h	113	4.0%
d	113	4.0%
Other values (3)	339	12.0%

Decimal Number

Value	Count	Frequency (%)
2	139	17.6%
9	99	12.5%
1	97	12.3%
7	97	12.3%
3	68	8.6%
4	67	8.5%
5	66	8.3%
0	65	8.2%
8	51	6.4%
6	42	5.3%

Other Punctuation

Value	Count	Frequency (%)
/	452	57.1%
.	226	28.6%
:	113	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2825	64.1%
Common	1582	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	452	28.6%
.	226	14.3%
2	139	8.8%
:	113	7.1%
9	99	6.3%
1	97	6.1%
7	97	6.1%
3	68	4.3%
4	67	4.2%
5	66	4.2%
Other values (3)	158	10.0%

Latin

Value	Count	Frequency (%)
t	339	12.0%
p	339	12.0%
s	339	12.0%
e	339	12.0%
a	226	8.0%
i	226	8.0%
m	226	8.0%
o	226	8.0%
h	113	4.0%
d	113	4.0%
Other values (3)	339	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4407	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	452	10.3%
t	339	7.7%
p	339	7.7%
s	339	7.7%
e	339	7.7%
a	226	5.1%
i	226	5.1%
.	226	5.1%
m	226	5.1%
o	226	5.1%
Other values (16)	1469	33.3%

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	17.4%
Missing	67
Missing (%)	59.3%
Memory size	1.0 KiB

China	26
Korea, Republic of	6
United States	5
Russian Federation	2
Taiwan, Province of China	2
Other values (3)	5

Length

Max length	25
Median length	5
Mean length	9.282608696
Min length	5

Characters and Unicode

Total characters	427
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.2%

Sample

1st row	Russian Federation
2nd row	Russian Federation
3rd row	China
4th row	China
5th row	Korea, Republic of

Common Values

Value	Count	Frequency (%)
China	26	23.0%
Korea, Republic of	6	5.3%
United States	5	4.4%
Russian Federation	2	1.8%
Taiwan, Province of China	2	1.8%
Turkey	2	1.8%
Norway	2	1.8%
United Kingdom	1	0.9%
(Missing)	67	59.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
china	28	38.9%
of	8	11.1%
korea	6	8.3%
republic	6	8.3%
united	6	8.3%
states	5	6.9%
russian	2	2.8%
federation	2	2.8%
taiwan	2	2.8%
province	2	2.8%
Other values (3)	5	6.9%

Most occurring characters

Value	Count	Frequency (%)
i	49	11.5%
a	49	11.5%
n	43	10.1%
e	31	7.3%
C	28	6.6%
h	28	6.6%
	26	6.1%
o	21	4.9%
t	18	4.2%
r	14	3.3%
Other values (23)	120	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	329	77.0%
Uppercase Letter	64	15.0%
Space Separator	26	6.1%
Other Punctuation	8	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	49	14.9%
a	49	14.9%
n	43	13.1%
e	31	9.4%
h	28	8.5%
o	21	6.4%
t	18	5.5%
r	14	4.3%
u	10	3.0%
s	9	2.7%
Other values (12)	57	17.3%

Uppercase Letter

Value	Count	Frequency (%)
C	28	43.8%
R	8	12.5%
K	7	10.9%
U	6	9.4%
S	5	7.8%
T	4	6.2%
P	2	3.1%
F	2	3.1%
N	2	3.1%

Space Separator

Value	Count	Frequency (%)
	26	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	393	92.0%
Common	34	8.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	49	12.5%
a	49	12.5%
n	43	10.9%
e	31	7.9%
C	28	7.1%
h	28	7.1%
o	21	5.3%
t	18	4.6%
r	14	3.6%
u	10	2.5%
Other values (21)	102	26.0%

Common

Value	Count	Frequency (%)
	26	76.5%
,	8	23.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	427	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	49	11.5%
a	49	11.5%
n	43	10.1%
e	31	7.3%
C	28	6.6%
h	28	6.6%
	26	6.1%
o	21	4.9%
t	18	4.2%
r	14	3.3%
Other values (23)	120	28.1%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	17.4%
Missing	67
Missing (%)	59.3%
Memory size	1.0 KiB

CN	26
KR	6
US	5
RU	2
TW	2
Other values (3)	5

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	92
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.2%

Sample

1st row	RU
2nd row	RU
3rd row	CN
4th row	CN
5th row	KR

Common Values

Value	Count	Frequency (%)
CN	26	23.0%
KR	6	5.3%
US	5	4.4%
RU	2	1.8%
TW	2	1.8%
TR	2	1.8%
NO	2	1.8%
GB	1	0.9%
(Missing)	67	59.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cn	26	56.5%
kr	6	13.0%
us	5	10.9%
ru	2	4.3%
tw	2	4.3%
tr	2	4.3%
no	2	4.3%
gb	1	2.2%

Most occurring characters

Value	Count	Frequency (%)
N	28	30.4%
C	26	28.3%
R	10	10.9%
U	7	7.6%
K	6	6.5%
S	5	5.4%
T	4	4.3%
W	2	2.2%
O	2	2.2%
G	1	1.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	92	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	28	30.4%
C	26	28.3%
R	10	10.9%
U	7	7.6%
K	6	6.5%
S	5	5.4%
T	4	4.3%
W	2	2.2%
O	2	2.2%
G	1	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	92	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	28	30.4%
C	26	28.3%
R	10	10.9%
U	7	7.6%
K	6	6.5%
S	5	5.4%
T	4	4.3%
W	2	2.2%
O	2	2.2%
G	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	92	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	28	30.4%
C	26	28.3%
R	10	10.9%
U	7	7.6%
K	6	6.5%
S	5	5.4%
T	4	4.3%
W	2	2.2%
O	2	2.2%
G	1	1.1%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	17.4%
Missing	67
Missing (%)	59.3%
Memory size	1.0 KiB

Asia/Shanghai	26
Asia/Seoul	6
America/New_York	5
Asia/Kamchatka	2
Asia/Taipei	2
Other values (3)	5

Length

Max length	16
Median length	13
Mean length	12.89130435
Min length	10

Characters and Unicode

Total characters	593
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.2%

Sample

1st row	Asia/Kamchatka
2nd row	Asia/Kamchatka
3rd row	Asia/Shanghai
4th row	Asia/Shanghai
5th row	Asia/Seoul

Common Values

Value	Count	Frequency (%)
Asia/Shanghai	26	23.0%
Asia/Seoul	6	5.3%
America/New_York	5	4.4%
Asia/Kamchatka	2	1.8%
Asia/Taipei	2	1.8%
Europe/Istanbul	2	1.8%
Europe/Oslo	2	1.8%
Europe/London	1	0.9%
(Missing)	67	59.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/shanghai	26	56.5%
asia/seoul	6	13.0%
america/new_york	5	10.9%
asia/kamchatka	2	4.3%
asia/taipei	2	4.3%
europe/istanbul	2	4.3%
europe/oslo	2	4.3%
europe/london	1	2.2%

Most occurring characters

Value	Count	Frequency (%)
a	103	17.4%
i	71	12.0%
h	54	9.1%
/	46	7.8%
A	41	6.9%
s	40	6.7%
S	32	5.4%
n	30	5.1%
g	26	4.4%
e	23	3.9%
Other values (21)	127	21.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	445	75.0%
Uppercase Letter	97	16.4%
Other Punctuation	46	7.8%
Connector Punctuation	5	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	103	23.1%
i	71	16.0%
h	54	12.1%
s	40	9.0%
n	30	6.7%
g	26	5.8%
e	23	5.2%
o	20	4.5%
r	15	3.4%
u	13	2.9%
Other values (9)	50	11.2%

Uppercase Letter

Value	Count	Frequency (%)
A	41	42.3%
S	32	33.0%
Y	5	5.2%
N	5	5.2%
E	5	5.2%
K	2	2.1%
T	2	2.1%
I	2	2.1%
O	2	2.1%
L	1	1.0%

Other Punctuation

Value	Count	Frequency (%)
/	46	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	542	91.4%
Common	51	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	103	19.0%
i	71	13.1%
h	54	10.0%
A	41	7.6%
s	40	7.4%
S	32	5.9%
n	30	5.5%
g	26	4.8%
e	23	4.2%
o	20	3.7%
Other values (19)	102	18.8%

Common

Value	Count	Frequency (%)
/	46	90.2%
_	5	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	593	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	103	17.4%
i	71	12.0%
h	54	9.1%
/	46	7.8%
A	41	6.9%
s	40	6.7%
S	32	5.4%
n	30	5.1%
g	26	4.4%
e	23	3.9%
Other values (21)	127	21.4%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	113
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	5
Distinct (%)	100.0%
Missing	108
Missing (%)	95.6%
Memory size	1.0 KiB

https://api.tvmaze.com/episodes/2374449	1
https://api.tvmaze.com/episodes/2383014	1
https://api.tvmaze.com/episodes/2330185	1
https://api.tvmaze.com/episodes/2379703	1
https://api.tvmaze.com/episodes/2367107	1

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	195
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2374449
2nd row	https://api.tvmaze.com/episodes/2383014
3rd row	https://api.tvmaze.com/episodes/2330185
4th row	https://api.tvmaze.com/episodes/2379703
5th row	https://api.tvmaze.com/episodes/2367107

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	0.9%
https://api.tvmaze.com/episodes/2383014	1	0.9%
https://api.tvmaze.com/episodes/2330185	1	0.9%
https://api.tvmaze.com/episodes/2379703	1	0.9%
https://api.tvmaze.com/episodes/2367107	1	0.9%
(Missing)	108	95.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	20.0%
https://api.tvmaze.com/episodes/2383014	1	20.0%
https://api.tvmaze.com/episodes/2330185	1	20.0%
https://api.tvmaze.com/episodes/2379703	1	20.0%
https://api.tvmaze.com/episodes/2367107	1	20.0%

Most occurring characters

Value	Count	Frequency (%)
/	20	10.3%
p	15	7.7%
s	15	7.7%
e	15	7.7%
t	15	7.7%
a	10	5.1%
i	10	5.1%
.	10	5.1%
m	10	5.1%
o	10	5.1%
Other values (16)	65	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	125	64.1%
Other Punctuation	35	17.9%
Decimal Number	35	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	15	12.0%
s	15	12.0%
e	15	12.0%
t	15	12.0%
a	10	8.0%
i	10	8.0%
m	10	8.0%
o	10	8.0%
h	5	4.0%
d	5	4.0%
Other values (3)	15	12.0%

Decimal Number

Value	Count	Frequency (%)
3	8	22.9%
7	5	14.3%
2	5	14.3%
4	4	11.4%
0	4	11.4%
1	3	8.6%
9	2	5.7%
8	2	5.7%
5	1	2.9%
6	1	2.9%

Other Punctuation

Value	Count	Frequency (%)
/	20	57.1%
.	10	28.6%
:	5	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	125	64.1%
Common	70	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	20	28.6%
.	10	14.3%
3	8	11.4%
7	5	7.1%
2	5	7.1%
:	5	7.1%
4	4	5.7%
0	4	5.7%
1	3	4.3%
9	2	2.9%
Other values (3)	4	5.7%

Latin

Value	Count	Frequency (%)
p	15	12.0%
s	15	12.0%
e	15	12.0%
t	15	12.0%
a	10	8.0%
i	10	8.0%
m	10	8.0%
o	10	8.0%
h	5	4.0%
d	5	4.0%
Other values (3)	15	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	195	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	20	10.3%
p	15	7.7%
s	15	7.7%
e	15	7.7%
t	15	7.7%
a	10	5.1%
i	10	5.1%
.	10	5.1%
m	10	5.1%
o	10	5.1%
Other values (16)	65	33.3%

_embedded.show.dvdCountry.name
Categorical

MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	111
Missing (%)	98.2%
Memory size	1.0 KiB

Korea, Republic of	1
Ukraine	1

Length

Max length	18
Median length	12.5
Mean length	12.5
Min length	7

Characters and Unicode

Total characters	25
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	Korea, Republic of
2nd row	Ukraine

Common Values

Value	Count	Frequency (%)
Korea, Republic of	1	0.9%
Ukraine	1	0.9%
(Missing)	111	98.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
korea	1	25.0%
republic	1	25.0%
of	1	25.0%
ukraine	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
e	3	12.0%
i	2	8.0%
r	2	8.0%
a	2	8.0%
	2	8.0%
o	2	8.0%
K	1	4.0%
k	1	4.0%
U	1	4.0%
f	1	4.0%
Other values (8)	8	32.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19	76.0%
Uppercase Letter	3	12.0%
Space Separator	2	8.0%
Other Punctuation	1	4.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3	15.8%
i	2	10.5%
r	2	10.5%
a	2	10.5%
o	2	10.5%
k	1	5.3%
f	1	5.3%
c	1	5.3%
u	1	5.3%
l	1	5.3%
Other values (3)	3	15.8%

Uppercase Letter

Value	Count	Frequency (%)
K	1	33.3%
U	1	33.3%
R	1	33.3%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22	88.0%
Common	3	12.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3	13.6%
i	2	9.1%
r	2	9.1%
a	2	9.1%
o	2	9.1%
K	1	4.5%
k	1	4.5%
U	1	4.5%
f	1	4.5%
c	1	4.5%
Other values (6)	6	27.3%

Common

Value	Count	Frequency (%)
	2	66.7%
,	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3	12.0%
i	2	8.0%
r	2	8.0%
a	2	8.0%
	2	8.0%
o	2	8.0%
K	1	4.0%
k	1	4.0%
U	1	4.0%
f	1	4.0%
Other values (8)	8	32.0%

_embedded.show.dvdCountry.code
Categorical

MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	111
Missing (%)	98.2%
Memory size	1.0 KiB

KR	1
UA	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	4
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	KR
2nd row	UA

Common Values

Value	Count	Frequency (%)
KR	1	0.9%
UA	1	0.9%
(Missing)	111	98.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
kr	1	50.0%
ua	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
K	1	25.0%
R	1	25.0%
U	1	25.0%
A	1	25.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
K	1	25.0%
R	1	25.0%
U	1	25.0%
A	1	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
K	1	25.0%
R	1	25.0%
U	1	25.0%
A	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
K	1	25.0%
R	1	25.0%
U	1	25.0%
A	1	25.0%

_embedded.show.dvdCountry.timezone
Categorical

MISSING
UNIFORM

Distinct	2
Distinct (%)	100.0%
Missing	111
Missing (%)	98.2%
Memory size	1.0 KiB

Asia/Seoul	1
Europe/Zaporozhye	1

Length

Max length	17
Median length	13.5
Mean length	13.5
Min length	10

Characters and Unicode

Total characters	27
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	Asia/Seoul
2nd row	Europe/Zaporozhye

Common Values

Value	Count	Frequency (%)
Asia/Seoul	1	0.9%
Europe/Zaporozhye	1	0.9%
(Missing)	111	98.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/seoul	1	50.0%
europe/zaporozhye	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
o	4	14.8%
e	3	11.1%
u	2	7.4%
r	2	7.4%
a	2	7.4%
/	2	7.4%
p	2	7.4%
h	1	3.7%
z	1	3.7%
Z	1	3.7%
Other values (7)	7	25.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21	77.8%
Uppercase Letter	4	14.8%
Other Punctuation	2	7.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4	19.0%
e	3	14.3%
u	2	9.5%
r	2	9.5%
a	2	9.5%
p	2	9.5%
h	1	4.8%
z	1	4.8%
l	1	4.8%
s	1	4.8%
Other values (2)	2	9.5%

Uppercase Letter

Value	Count	Frequency (%)
Z	1	25.0%
A	1	25.0%
E	1	25.0%
S	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
/	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25	92.6%
Common	2	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4	16.0%
e	3	12.0%
u	2	8.0%
r	2	8.0%
a	2	8.0%
p	2	8.0%
h	1	4.0%
z	1	4.0%
Z	1	4.0%
A	1	4.0%
Other values (6)	6	24.0%

Common

Value	Count	Frequency (%)
/	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	4	14.8%
e	3	11.1%
u	2	7.4%
r	2	7.4%
a	2	7.4%
/	2	7.4%
p	2	7.4%
h	1	3.7%
z	1	3.7%
Z	1	3.7%
Other values (7)	7	25.9%

_embedded.show.network.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	100.0%
Missing	107
Missing (%)	94.7%
Infinite	0
Infinite (%)	0.0%
Mean	448.1666667

Minimum	30
Maximum	1808
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	30
5-th percentile	50.5
Q1	117
median	168.5
Q3	352.75
95-th percentile	1456.5
Maximum	1808
Range	1778
Interquartile range (IQR)	235.75

Descriptive statistics

Standard deviation	677.9735737
Coefficient of variation (CV)	1.512771083
Kurtosis	5.267277135
Mean	448.1666667
Median Absolute Deviation (MAD)	97.5
Skewness	2.269367844
Sum	2689
Variance	459648.1667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1808	1	0.9%
205	1	0.9%
402	1	0.9%
112	1	0.9%
30	1	0.9%
132	1	0.9%
(Missing)	107	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	0.9%
112	1	0.9%
132	1	0.9%
205	1	0.9%
402	1	0.9%
1808	1	0.9%

Value	Count	Frequency (%)
1808	1	0.9%
402	1	0.9%
205	1	0.9%
132	1	0.9%
112	1	0.9%
30	1	0.9%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	6
Distinct (%)	100.0%
Missing	107
Missing (%)	94.7%
Memory size	1.0 KiB

MBC Masr	1
NFL Network	1
Новий Канал	1
RTL4	1
USA Network	1

Length

Max length	11
Median length	9.5
Mean length	8.833333333
Min length	4

Characters and Unicode

Total characters	53
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	100.0%

Sample

1st row	MBC Masr
2nd row	NFL Network
3rd row	Новий Канал
4th row	RTL4
5th row	USA Network

Common Values

Value	Count	Frequency (%)
MBC Masr	1	0.9%
NFL Network	1	0.9%
Новий Канал	1	0.9%
RTL4	1	0.9%
USA Network	1	0.9%
Tokyo MX	1	0.9%
(Missing)	107	94.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
network	2	18.2%
mbc	1	9.1%
masr	1	9.1%
nfl	1	9.1%
новий	1	9.1%
канал	1	9.1%
rtl4	1	9.1%
usa	1	9.1%
tokyo	1	9.1%
mx	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
	5	9.4%
o	4	7.5%
M	3	5.7%
k	3	5.7%
r	3	5.7%
N	3	5.7%
а	2	3.8%
T	2	3.8%
w	2	3.8%
t	2	3.8%
Other values (22)	24	45.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27	50.9%
Uppercase Letter	20	37.7%
Space Separator	5	9.4%
Decimal Number	1	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4	14.8%
k	3	11.1%
r	3	11.1%
а	2	7.4%
w	2	7.4%
t	2	7.4%
e	2	7.4%
y	1	3.7%
л	1	3.7%
н	1	3.7%
Other values (6)	6	22.2%

Uppercase Letter

Value	Count	Frequency (%)
M	3	15.0%
N	3	15.0%
T	2	10.0%
L	2	10.0%
U	1	5.0%
S	1	5.0%
A	1	5.0%
R	1	5.0%
К	1	5.0%
B	1	5.0%
Other values (4)	4	20.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Decimal Number

Value	Count	Frequency (%)
4	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37	69.8%
Cyrillic	10	18.9%
Common	6	11.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4	10.8%
M	3	8.1%
k	3	8.1%
r	3	8.1%
N	3	8.1%
T	2	5.4%
w	2	5.4%
t	2	5.4%
e	2	5.4%
L	2	5.4%
Other values (11)	11	29.7%

Cyrillic

Value	Count	Frequency (%)
а	2	20.0%
л	1	10.0%
н	1	10.0%
о	1	10.0%
К	1	10.0%
й	1	10.0%
и	1	10.0%
в	1	10.0%
Н	1	10.0%

Common

Value	Count	Frequency (%)
	5	83.3%
4	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43	81.1%
Cyrillic	10	18.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5	11.6%
o	4	9.3%
M	3	7.0%
k	3	7.0%
r	3	7.0%
N	3	7.0%
T	2	4.7%
w	2	4.7%
t	2	4.7%
e	2	4.7%
Other values (13)	14	32.6%

Cyrillic

Value	Count	Frequency (%)
а	2	20.0%
л	1	10.0%
н	1	10.0%
о	1	10.0%
К	1	10.0%
й	1	10.0%
и	1	10.0%
в	1	10.0%
Н	1	10.0%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	83.3%
Missing	107
Missing (%)	94.7%
Memory size	1.0 KiB

United States	2
Egypt	1
Ukraine	1
Netherlands	1
Japan	1

Length

Max length	13
Median length	11
Mean length	9
Min length	5

Characters and Unicode

Total characters	54
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	66.7%

Sample

1st row	Egypt
2nd row	United States
3rd row	Ukraine
4th row	Netherlands
5th row	United States

Common Values

Value	Count	Frequency (%)
United States	2	1.8%
Egypt	1	0.9%
Ukraine	1	0.9%
Netherlands	1	0.9%
Japan	1	0.9%
(Missing)	107	94.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
united	2	25.0%
states	2	25.0%
egypt	1	12.5%
ukraine	1	12.5%
netherlands	1	12.5%
japan	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
t	8	14.8%
e	7	13.0%
a	6	11.1%
n	5	9.3%
U	3	5.6%
i	3	5.6%
d	3	5.6%
s	3	5.6%
r	2	3.7%
	2	3.7%
Other values (10)	12	22.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	44	81.5%
Uppercase Letter	8	14.8%
Space Separator	2	3.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	8	18.2%
e	7	15.9%
a	6	13.6%
n	5	11.4%
i	3	6.8%
d	3	6.8%
s	3	6.8%
r	2	4.5%
p	2	4.5%
l	1	2.3%
Other values (4)	4	9.1%

Uppercase Letter

Value	Count	Frequency (%)
U	3	37.5%
S	2	25.0%
N	1	12.5%
E	1	12.5%
J	1	12.5%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52	96.3%
Common	2	3.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	8	15.4%
e	7	13.5%
a	6	11.5%
n	5	9.6%
U	3	5.8%
i	3	5.8%
d	3	5.8%
s	3	5.8%
r	2	3.8%
S	2	3.8%
Other values (9)	10	19.2%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	8	14.8%
e	7	13.0%
a	6	11.1%
n	5	9.3%
U	3	5.6%
i	3	5.6%
d	3	5.6%
s	3	5.6%
r	2	3.7%
	2	3.7%
Other values (10)	12	22.2%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	83.3%
Missing	107
Missing (%)	94.7%
Memory size	1.0 KiB

US	2
EG	1
UA	1
NL	1
JP	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	12
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	66.7%

Sample

1st row	EG
2nd row	US
3rd row	UA
4th row	NL
5th row	US

Common Values

Value	Count	Frequency (%)
US	2	1.8%
EG	1	0.9%
UA	1	0.9%
NL	1	0.9%
JP	1	0.9%
(Missing)	107	94.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
us	2	33.3%
eg	1	16.7%
ua	1	16.7%
nl	1	16.7%
jp	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
U	3	25.0%
S	2	16.7%
E	1	8.3%
G	1	8.3%
A	1	8.3%
N	1	8.3%
L	1	8.3%
J	1	8.3%
P	1	8.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	12	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	3	25.0%
S	2	16.7%
E	1	8.3%
G	1	8.3%
A	1	8.3%
N	1	8.3%
L	1	8.3%
J	1	8.3%
P	1	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	3	25.0%
S	2	16.7%
E	1	8.3%
G	1	8.3%
A	1	8.3%
N	1	8.3%
L	1	8.3%
J	1	8.3%
P	1	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	3	25.0%
S	2	16.7%
E	1	8.3%
G	1	8.3%
A	1	8.3%
N	1	8.3%
L	1	8.3%
J	1	8.3%
P	1	8.3%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	83.3%
Missing	107
Missing (%)	94.7%
Memory size	1.0 KiB

America/New_York	2
Africa/Cairo	1
Europe/Zaporozhye	1
Europe/Amsterdam	1
Asia/Tokyo	1

Length

Max length	17
Median length	16.5
Mean length	14.5
Min length	10

Characters and Unicode

Total characters	87
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	66.7%

Sample

1st row	Africa/Cairo
2nd row	America/New_York
3rd row	Europe/Zaporozhye
4th row	Europe/Amsterdam
5th row	America/New_York

Common Values

Value	Count	Frequency (%)
America/New_York	2	1.8%
Africa/Cairo	1	0.9%
Europe/Zaporozhye	1	0.9%
Europe/Amsterdam	1	0.9%
Asia/Tokyo	1	0.9%
(Missing)	107	94.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
america/new_york	2	33.3%
africa/cairo	1	16.7%
europe/zaporozhye	1	16.7%
europe/amsterdam	1	16.7%
asia/tokyo	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
r	10	11.5%
o	9	10.3%
e	8	9.2%
a	7	8.0%
/	6	6.9%
A	5	5.7%
i	5	5.7%
m	4	4.6%
p	3	3.4%
k	3	3.4%
Other values (17)	27	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	65	74.7%
Uppercase Letter	14	16.1%
Other Punctuation	6	6.9%
Connector Punctuation	2	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	10	15.4%
o	9	13.8%
e	8	12.3%
a	7	10.8%
i	5	7.7%
m	4	6.2%
p	3	4.6%
k	3	4.6%
c	3	4.6%
s	2	3.1%
Other values (8)	11	16.9%

Uppercase Letter

Value	Count	Frequency (%)
A	5	35.7%
E	2	14.3%
Y	2	14.3%
N	2	14.3%
C	1	7.1%
Z	1	7.1%
T	1	7.1%

Other Punctuation

Value	Count	Frequency (%)
/	6	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	79	90.8%
Common	8	9.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	10	12.7%
o	9	11.4%
e	8	10.1%
a	7	8.9%
A	5	6.3%
i	5	6.3%
m	4	5.1%
p	3	3.8%
k	3	3.8%
c	3	3.8%
Other values (15)	22	27.8%

Common

Value	Count	Frequency (%)
/	6	75.0%
_	2	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	10	11.5%
o	9	10.3%
e	8	9.2%
a	7	8.0%
/	6	6.9%
A	5	5.7%
i	5	5.7%
m	4	4.6%
p	3	3.4%
k	3	3.4%
Other values (17)	27	31.0%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	113
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	113
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	113
Missing (%)	100.0%
Memory size	1.0 KiB

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	image	_embedded.show._links.nextepisode.href	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.image	_embedded.show.webChannel
0	2179615	https://www.tvmaze.com/episodes/2179615/kontakty-1x32-kontakty-v-telefone-arsenia-popova-pavel-vola-ekaterina-varnava-ila-sobolev-edgard-zapasnyj	КОНТАКТЫ в телефоне Арсения Попова: Павел Воля, Екатерина Варнава, Илья Соболев, Эдгард Запашный	1	32.0	regular	2020-12-30	12:00	2020-12-30T00:00:00+00:00	45.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/360/901425.jpg	https://static.tvmaze.com/uploads/images/original_untouched/360/901425.jpg	https://api.tvmaze.com/episodes/2179615	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	42.0	2019-04-03	None	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI		[Monday]	NaN	22	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg	None	1661485729	https://api.tvmaze.com/shows/49630	https://api.tvmaze.com/episodes/2380515	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	2001718	https://www.tvmaze.com/episodes/2001718/zona-komforta-s01-special-zona-komforta-osuitelno-specialnyj-vypusk	Зона Комфорта. Ошуительно Специальный Выпуск	1	NaN	insignificant_special	2020-12-30		2020-12-30T00:00:00+00:00	15.0	<p>A unique release of The Shocking Howe. Actors and writers of the "Comfort Zone" series will tell you how the project was created. Of course, everything is in the style of the Shocking Howe.</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/322/807322.jpg	https://static.tvmaze.com/uploads/images/original_untouched/322/807322.jpg	https://api.tvmaze.com/episodes/2001718	51510	https://www.tvmaze.com/shows/51510/zona-komforta	Зона комфорта	Scripted	Russian	[Comedy]	Ended	NaN	29.0	2020-10-22	2022-03-02	https://okko.tv/serial/zona-komforta		[Monday, Thursday]	NaN	34	NaN	366.0	Okko	NaN	None	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/282/706515.jpg	https://static.tvmaze.com/uploads/images/original_untouched/282/706515.jpg	None	1649573482	https://api.tvmaze.com/shows/51510	https://api.tvmaze.com/episodes/2287139	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1987721	https://www.tvmaze.com/episodes/1987721/passaziry-1x03-kirill	Кирилл	1	3.0	regular	2020-12-30		2020-12-30T00:00:00+00:00	20.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/292/731145.jpg	https://static.tvmaze.com/uploads/images/original_untouched/292/731145.jpg	https://api.tvmaze.com/episodes/1987721	52499	https://www.tvmaze.com/shows/52499/passaziry	Пассажиры	Scripted	Russian	[Drama, Supernatural]	Ended	NaN	23.0	2020-12-24	2022-05-27	https://start.ru/watch/passazhiry		[Friday]	NaN	82	NaN	245.0	Start	NaN	None	NaN	NaN	393530.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/394/986714.jpg	https://static.tvmaze.com/uploads/images/original_untouched/394/986714.jpg	None	1661864044	https://api.tvmaze.com/shows/52499	https://api.tvmaze.com/episodes/2270905	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	2386111	https://www.tvmaze.com/episodes/2386111/xian-feng-jian-yu-lu-1x52-episode-52	Episode 52	1	52.0	regular	2020-12-30	10:00	2020-12-30T02:00:00+00:00	8.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2386111	49206	https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu	Xian Feng Jian Yu Lu	Animation	Chinese	[Action, Anime, Fantasy, Supernatural]	Running	8.0	7.0	2020-07-11	None	https://v.qq.com/detail/m/mzc00200hc38s5x.html	10:00	[Wednesday, Saturday]	NaN	62	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	386423.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg	https://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>	1662275668	https://api.tvmaze.com/shows/49206	https://api.tvmaze.com/episodes/2386129	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	2095630	https://www.tvmaze.com/episodes/2095630/yi-nian-yong-heng-1x23-episode-23	Episode 23	1	23.0	regular	2020-12-30	10:00	2020-12-30T02:00:00+00:00	19.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2095630	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	[Comedy, Action, Anime, Fantasy]	Running	19.0	19.0	2020-08-12	None	https://v.qq.com/detail/w/ww18u675tfmhas6.html	10:00	[Wednesday]	NaN	56	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	388680.0	tt13695606	https://static.tvmaze.com/uploads/images/medium_portrait/267/669816.jpg	https://static.tvmaze.com/uploads/images/original_untouched/267/669816.jpg	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1660662594	https://api.tvmaze.com/shows/49652	https://api.tvmaze.com/episodes/2374448	China	CN	Asia/Shanghai	NaN	https://api.tvmaze.com/episodes/2374449	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	1993659	https://www.tvmaze.com/episodes/1993659/7-days-of-romance-2x04-episode-4	Episode 4	2	4.0	regular	2020-12-30		2020-12-30T03:00:00+00:00	15.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1993659	44276	https://www.tvmaze.com/shows/44276/7-days-of-romance	7 Days of Romance	Scripted	Korean	[Drama, Romance]	Ended	NaN	15.0	2019-10-08	2021-01-20	None		[Tuesday, Wednesday]	NaN	81	NaN	380.0	Seezn	NaN	https://www.seezntv.com/	NaN	NaN	370873.0	tt13423446	https://static.tvmaze.com/uploads/images/medium_portrait/290/727378.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/727378.jpg	<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>	1650033745	https://api.tvmaze.com/shows/44276	https://api.tvmaze.com/episodes/1993665	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	2096304	https://www.tvmaze.com/episodes/2096304/no-turning-back-romance-1x08-8	8	1	8.0	regular	2020-12-30		2020-12-30T03:00:00+00:00	12.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2096304	55002	https://www.tvmaze.com/shows/55002/no-turning-back-romance	No Turning Back Romance	Scripted	Korean	[]	Ended	NaN	12.0	2020-12-08	2021-01-06	None		[Tuesday, Wednesday]	NaN	23	NaN	30.0	Naver TVCast	NaN	https://tv.naver.com/	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/319/799196.jpg	https://static.tvmaze.com/uploads/images/original_untouched/319/799196.jpg	<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>	1621617231	https://api.tvmaze.com/shows/55002	https://api.tvmaze.com/episodes/2096309	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	2324425	https://www.tvmaze.com/episodes/2324425/unique-lady-2x13-episode-13	Episode 13	2	13.0	regular	2020-12-30	12:00	2020-12-30T04:00:00+00:00	40.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2324425	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	[Drama, Comedy, Romance]	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html		[Thursday, Friday, Saturday]	NaN	35	NaN	67.0	iQIYI	NaN	https://www.iq.com/	NaN	NaN	360222.0	tt11939550	https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg	https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1654382071	https://api.tvmaze.com/shows/41490	https://api.tvmaze.com/episodes/2324440	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	2324426	https://www.tvmaze.com/episodes/2324426/unique-lady-2x14-episode-14	Episode 14	2	14.0	regular	2020-12-30	12:00	2020-12-30T04:00:00+00:00	40.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2324426	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	[Drama, Comedy, Romance]	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html		[Thursday, Friday, Saturday]	NaN	35	NaN	67.0	iQIYI	NaN	https://www.iq.com/	NaN	NaN	360222.0	tt11939550	https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg	https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1654382071	https://api.tvmaze.com/shows/41490	https://api.tvmaze.com/episodes/2324440	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	1998603	https://www.tvmaze.com/episodes/1998603/unique-lady-2-1x13-episode-13	Episode 13	1	13.0	regular	2020-12-30		2020-12-30T04:00:00+00:00	45.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1998603	52784	https://www.tvmaze.com/shows/52784/unique-lady-2	Unique Lady 2	Scripted	Chinese	[Comedy, Fantasy, Romance]	Ended	45.0	45.0	2020-12-24	2021-01-07	None		[Monday, Tuesday, Wednesday, Thursday, Friday]	NaN	21	NaN	118.0	Youku	NaN	None	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/291/729467.jpg	https://static.tvmaze.com/uploads/images/original_untouched/291/729467.jpg	<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	1660261886	https://api.tvmaze.com/shows/52784	https://api.tvmaze.com/episodes/1998626	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	image	_embedded.show._links.nextepisode.href	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.image	_embedded.show.webChannel
103	1992763	https://www.tvmaze.com/episodes/1992763/sj-returns-4x89-episode-89	Episode 89	4	89.0	regular	2020-12-30	00:00	2020-12-30T15:00:00+00:00	5.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1992763	52250	https://www.tvmaze.com/shows/52250/sj-returns	SJ Returns	Reality	Korean	[]	Running	5.0	5.0	2017-10-09	None	https://tv.naver.com/sjreturns	00:00	[Monday, Wednesday, Friday]	NaN	15	NaN	30.0	Naver TVCast	NaN	https://tv.naver.com/	NaN	NaN	336628.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/286/716978.jpg	https://static.tvmaze.com/uploads/images/original_untouched/286/716978.jpg	<p>This show will follow Super Junior's everyday life.</p>	1613088348	https://api.tvmaze.com/shows/52250	https://api.tvmaze.com/episodes/2030085	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
104	1977579	https://www.tvmaze.com/episodes/1977579/atop-the-fourth-wall-12x48-yet-another-15-mistakes-of-at4w	Yet Another 15 Mistakes of AT4W	12	48.0	regular	2020-12-30		2020-12-30T17:00:00+00:00	25.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1977579	18971	https://www.tvmaze.com/shows/18971/atop-the-fourth-wall	Atop the Fourth Wall	Variety	English	[]	Running	25.0	25.0	2008-10-26	None	http://www.atopthefourthwall.com		[Monday]	NaN	29	NaN	40.0	Blip	NaN	None	NaN	NaN	247956.0	tt1868207	https://static.tvmaze.com/uploads/images/medium_portrait/65/164161.jpg	https://static.tvmaze.com/uploads/images/original_untouched/65/164161.jpg	<p><b>Atop the Fourth Wall</b> is a comic book review show, hosted by Lewis "Linkara" Lovhaug. The show specializes in reviewing really bad comic books.</p>	1660915710	https://api.tvmaze.com/shows/18971	https://api.tvmaze.com/episodes/2330184	United States	US	America/New_York	NaN	https://api.tvmaze.com/episodes/2330185	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
105	1990782	https://www.tvmaze.com/episodes/1990782/a-house-divided-3x02-we-all-got-choices	We All Got Choices	3	2.0	regular	2020-12-30		2020-12-30T17:00:00+00:00	45.0	<p>Stephanie finds a peaceful place. Carissa has a personal security detail assigned to her; he happens to be a handsome ex navy seal by the name of Dante Radson. Nigel receives instruction from his father in Nigeria, and things begin to heat up as the danger increases for the Sanders clan. Carissa is tormented by her ugly past. Nigel decides to test Dante's expertise.</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/317/794076.jpg	https://static.tvmaze.com/uploads/images/original_untouched/317/794076.jpg	https://api.tvmaze.com/episodes/1990782	42872	https://www.tvmaze.com/shows/42872/a-house-divided	A House Divided	Scripted	English	[Drama]	To Be Determined	NaN	42.0	2019-07-18	None	https://allblk.tv/housedivided/		[Thursday]	3.6	79	NaN	209.0	ALLBLK	NaN	None	NaN	NaN	367023.0	tt10437218	https://static.tvmaze.com/uploads/images/medium_portrait/289/723322.jpg	https://static.tvmaze.com/uploads/images/original_untouched/289/723322.jpg	<p><b>A House Divided</b> follows the direct descendants of Letty Sanders, an enslaved woman who after arriving in Los Angeles in 1821, grew to become the wealthiest Black woman in the newly formed city. Centering on the present-day members of the highly esteemed Sanders family, Cameran Sanders has raised his three children in opulent wealth. After the sudden passing of his wife amidst a brewing government investigation into the business dealings of the family-owned bank, a new woman emerges from the shadows determined to be the next Mrs. Cameran Sanders. As secrets are uncovered and scandals emerge, the Sanders family will be forced to band together for the sake of their survival or risk the ultimate demise of their long-standing legacy.</p>	1650123100	https://api.tvmaze.com/shows/42872	https://api.tvmaze.com/episodes/2286030	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
106	2192628	https://www.tvmaze.com/episodes/2192628/diti-proti-zirok-2x14-vypusk-14-artem-pivovarov-daniel-salem-konstantin-vojtenko	Выпуск 14 (Артем Пивоваров, Даниэль Салем, Константин Войтенко)	2	14.0	regular	2020-12-30	19:00	2020-12-30T17:00:00+00:00	90.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2192628	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	[Action, Family]	Running	90.0	90.0	2019-09-25	None	https://novy.tv/ua/deti-protiv-zvezd/	19:00	[Wednesday]	NaN	22	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/365/913800.jpg	https://static.tvmaze.com/uploads/images/original_untouched/365/913800.jpg	None	1640952799	https://api.tvmaze.com/shows/44675	https://api.tvmaze.com/episodes/2245693	NaN	NaN	NaN	NaN	NaN	Ukraine	UA	Europe/Zaporozhye	402.0	Новий Канал	Ukraine	UA	Europe/Zaporozhye	NaN	NaN	NaN
107	2135013	https://www.tvmaze.com/episodes/2135013/dimension-20-7x08-feasts-families	Feasts & Families	7	8.0	regular	2020-12-30		2020-12-30T17:00:00+00:00	NaN	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2135013	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	[Comedy, Adventure, Fantasy]	Running	NaN	NaN	2018-09-12	None	https://www.dropout.tv/dimension-20	19:00	[Wednesday]	NaN	78	NaN	311.0	Dropout	NaN	None	NaN	NaN	354216.0	tt9646546	https://static.tvmaze.com/uploads/images/medium_portrait/342/856895.jpg	https://static.tvmaze.com/uploads/images/original_untouched/342/856895.jpg	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1661872561	https://api.tvmaze.com/shows/56531	https://api.tvmaze.com/episodes/2382501	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
108	1977422	https://www.tvmaze.com/episodes/1977422/goede-tijden-slechte-tijden-31x71-aflevering-6326	Aflevering 6326	31	71.0	regular	2020-12-30	20:00	2020-12-30T19:00:00+00:00	23.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/291/727578.jpg	https://static.tvmaze.com/uploads/images/original_untouched/291/727578.jpg	https://api.tvmaze.com/episodes/1977422	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	[Drama, Romance]	Running	23.0	25.0	1990-10-01	None	http://gtst.nl/#!/	20:00	[Monday, Tuesday, Wednesday, Thursday]	NaN	83	NaN	NaN	NaN	NaN	NaN	NaN	19056.0	104271.0	tt0096597	https://static.tvmaze.com/uploads/images/medium_portrait/332/830481.jpg	https://static.tvmaze.com/uploads/images/original_untouched/332/830481.jpg	None	1662346277	https://api.tvmaze.com/shows/2504	https://api.tvmaze.com/episodes/2379702	NaN	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2379703	NaN	NaN	NaN	112.0	RTL4	Netherlands	NL	Europe/Amsterdam	NaN	NaN	NaN
109	2276408	https://www.tvmaze.com/episodes/2276408/here-we-go-s01-special-pandemonium-pilot	Pandemonium (Pilot)	1	NaN	significant_special	2020-12-30	21:45	2020-12-30T21:45:00+00:00	30.0	<p>2020 has been an absolute nightmare for the Jessop family. To boost family morale, they decide they are going to have a summer holiday after all, even if it is in Margate in October.</p>	6.0	https://static.tvmaze.com/uploads/images/medium_landscape/396/990565.jpg	https://static.tvmaze.com/uploads/images/original_untouched/396/990565.jpg	https://api.tvmaze.com/episodes/2276408	60508	https://www.tvmaze.com/shows/60508/here-we-go	Here We Go	Scripted	English	[Comedy]	To Be Determined	NaN	29.0	2020-12-30	None	https://www.bbc.co.uk/programmes/p0byxbkn	20:30	[Friday]	NaN	86	NaN	26.0	BBC iPlayer	NaN	https://www.bbc.co.uk/iplayer	NaN	NaN	394206.0	tt13684264	https://static.tvmaze.com/uploads/images/medium_portrait/406/1017308.jpg	https://static.tvmaze.com/uploads/images/original_untouched/406/1017308.jpg	<p><b>Here We Go</b> follows the highs and lows of the Jessop family as they navigate a combination of life's everyday challenges – changing careers, keeping the romance alive within a marriage, adopting a healthier lifestyle, kidnapping a dog, destroying a swimming pool and sabotaging a wedding.</p><p>Having filmed his family's disastrous attempt to carve out a holiday in the midst of the pandemic in the 2020 pilot episode, the series sees youngest son Sam continue to document the Jessop family across the year. Moving back and forward in time, each episode offers an intimate, observed and absurd exposé of a modern British family doing its best to support each other, if accidentally annoying everyone else in the process.</p>	1654699589	https://api.tvmaze.com/shows/60508	https://api.tvmaze.com/episodes/2317434	United Kingdom	GB	Europe/London	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
110	1958869	https://www.tvmaze.com/episodes/1958869/wwe-nxt-14x53-main-event-johnny-gargano-c-vs-leon-ruff-for-the-nxt-north-american-championship	Main Event: Johnny Gargano (c) vs. Leon Ruff for the NXT North American Championship	14	53.0	regular	2020-12-30	20:00	2020-12-31T01:00:00+00:00	127.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1958869	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	77.0	2010-02-23	None	http://www.wwe.com/inside/networkschedule	20:00	[Tuesday]	7.2	92	NaN	15.0	WWE Network	NaN	None	NaN	25100.0	144541.0	tt1601141	https://static.tvmaze.com/uploads/images/medium_portrait/401/1002762.jpg	https://static.tvmaze.com/uploads/images/original_untouched/401/1002762.jpg	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1661969159	https://api.tvmaze.com/shows/2266	https://api.tvmaze.com/episodes/2383154	United States	US	America/New_York	NaN	https://api.tvmaze.com/episodes/2367107	NaN	NaN	NaN	30.0	USA Network	United States	US	America/New_York	NaN	NaN	NaN
111	2041985	https://www.tvmaze.com/episodes/2041985/submission-underground-2020-12-30-submission-underground-20-bader-vs-fowler	Submission Underground 20: Bader vs. Fowler	2020	10.0	regular	2020-12-30	20:00	2020-12-31T01:00:00+00:00	120.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2041985	50162	https://www.tvmaze.com/shows/50162/submission-underground	Submission Underground	Sports	English	[]	Running	120.0	120.0	2016-07-17	None	https://www.tapology.com/fightcenter/promotions/2861-submission-underground-sug	20:00	[Saturday]	NaN	13	NaN	45.0	UFC Fight Pass	NaN	None	NaN	NaN	387946.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/271/679188.jpg	https://static.tvmaze.com/uploads/images/original_untouched/271/679188.jpg	<p>Submission Underground is a grappling event presented by Chael Sonnen and UFC Fight Pass!</p>	1614930973	https://api.tvmaze.com/shows/50162	https://api.tvmaze.com/episodes/2041986	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
112	1985214	https://www.tvmaze.com/episodes/1985214/noblesse-1x13-noblesse-take-her-hand	Noblesse / Take Her Hand	1	13.0	regular	2020-12-30	00:00	2020-12-31T05:00:00+00:00	25.0	<p>Raizel appears in front of Raskreia and the Clan Leaders to prevent Gejutel's sentence from being carried out and put things in order. The Clan Leaders are overwhelmed by his incredible power. The real reason why the Previous Lord died is finally revealed. The battle between Lord and Noblesse begins!</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/292/732081.jpg	https://static.tvmaze.com/uploads/images/original_untouched/292/732081.jpg	https://api.tvmaze.com/episodes/1985214	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	[Anime, Supernatural]	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	00:00	[Wednesday]	NaN	44	NaN	20.0	Crunchyroll	NaN	None	NaN	NaN	386818.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/268/670751.jpg	https://static.tvmaze.com/uploads/images/original_untouched/268/670751.jpg	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1648716882	https://api.tvmaze.com/shows/49732	https://api.tvmaze.com/episodes/1985214	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	132.0	Tokyo MX	Japan	JP	Asia/Tokyo	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts